CINXE.COM

<!DOCTYPE html> <html lang="en" xmlns:fb="http://www.facebook.com/2008/fbml" class="wf-loading"> <head prefix="og: https://ogp.me/ns# fb: https://ogp.me/ns/fb# academia: https://ogp.me/ns/fb/academia#"> <meta charset="utf-8"> <meta name=viewport content="width=device-width, initial-scale=1"> <meta rel="search" type="application/opensearchdescription+xml" href="/open_search.xml" title="Academia.edu"> <title>István József Farkas - Academia.edu</title>  <link href="//a.academia-assets.com/images/favicons/favicon-production.ico" rel="shortcut icon" type="image/vnd.microsoft.icon"> <link rel="apple-touch-icon" sizes="57x57" href="//a.academia-assets.com/images/favicons/apple-touch-icon-57x57.png"> <link rel="apple-touch-icon" sizes="60x60" href="//a.academia-assets.com/images/favicons/apple-touch-icon-60x60.png"> <link rel="apple-touch-icon" sizes="72x72" href="//a.academia-assets.com/images/favicons/apple-touch-icon-72x72.png"> <link rel="apple-touch-icon" sizes="76x76" href="//a.academia-assets.com/images/favicons/apple-touch-icon-76x76.png"> <link rel="apple-touch-icon" sizes="114x114" href="//a.academia-assets.com/images/favicons/apple-touch-icon-114x114.png"> <link rel="apple-touch-icon" sizes="120x120" href="//a.academia-assets.com/images/favicons/apple-touch-icon-120x120.png"> <link rel="apple-touch-icon" sizes="144x144" href="//a.academia-assets.com/images/favicons/apple-touch-icon-144x144.png"> <link rel="apple-touch-icon" sizes="152x152" href="//a.academia-assets.com/images/favicons/apple-touch-icon-152x152.png"> <link rel="apple-touch-icon" sizes="180x180" href="//a.academia-assets.com/images/favicons/apple-touch-icon-180x180.png"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-32x32.png" sizes="32x32"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-194x194.png" sizes="194x194"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-96x96.png" sizes="96x96"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/android-chrome-192x192.png" sizes="192x192"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-16x16.png" sizes="16x16"> <link rel="manifest" href="//a.academia-assets.com/images/favicons/manifest.json"> <meta name="msapplication-TileColor" content="#2b5797"> <meta name="msapplication-TileImage" content="//a.academia-assets.com/images/favicons/mstile-144x144.png"> <meta name="theme-color" content="#ffffff"> <script> window.performance && window.performance.measure && window.performance.measure("Time To First Byte", "requestStart", "responseStart"); </script> <script> (function() { if (!window.URLSearchParams || !window.history || !window.history.replaceState) { return; } var searchParams = new URLSearchParams(window.location.search); var paramsToDelete = [ 'fs', 'sm', 'swp', 'iid', 'nbs', 'rcc', // related content category 'rcpos', // related content carousel position 'rcpg', // related carousel page 'rchid', // related content hit id 'f_ri', // research interest id, for SEO tracking 'f_fri', // featured research interest, for SEO tracking (param key without value) 'f_rid', // from research interest directory for SEO tracking 'f_loswp', // from research interest pills on LOSWP sidebar for SEO tracking 'rhid', // referrring hit id ]; if (paramsToDelete.every((key) => searchParams.get(key) === null)) { return; } paramsToDelete.forEach((key) => { searchParams.delete(key); }); var cleanUrl = new URL(window.location.href); cleanUrl.search = searchParams.toString(); history.replaceState({}, document.title, cleanUrl); })(); </script> <script async src="https://www.googletagmanager.com/gtag/js?id=G-5VKX33P2DS"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-5VKX33P2DS', { cookie_domain: 'academia.edu', send_page_view: false, }); gtag('event', 'page_view', { 'controller': "profiles/works", 'action': "summary", 'controller_action': 'profiles/works#summary', 'logged_in': 'false', 'edge': 'unknown', // Send nil if there is no A/B test bucket, in case some records get logged // with missing data - that way we can distinguish between the two cases. // ab_test_bucket should be of the form <ab_test_name>:<bucket> 'ab_test_bucket': null, }) </script> <script type="text/javascript"> window.sendUserTiming = function(timingName) { if (!(window.performance && window.performance.measure)) return; var entries = window.performance.getEntriesByName(timingName, "measure"); if (entries.length !== 1) return; var timingValue = Math.round(entries[0].duration); gtag('event', 'timing_complete', { name: timingName, value: timingValue, event_category: 'User-centric', }); }; window.sendUserTiming("Time To First Byte"); </script> <meta name="csrf-param" content="authenticity_token" /> <meta name="csrf-token" content="9BIi+rJFJa4SP5Fz499ZE5QP0mN47RX+7Q6U2X8t++3V04aWMeg7spfulJKzXmYadfAu6W3Pf0BNz8jxpgjcSg==" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/wow-77f7b87cb1583fc59aa8f94756ebfe913345937eb932042b4077563bebb5fb4b.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/social/home-9e8218e1301001388038e3fc3427ed00d079a4760ff7745d1ec1b2d59103170a.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/heading-b2b823dd904da60a48fd1bfa1defd840610c2ff414d3f39ed3af46277ab8df3b.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/button-3cea6e0ad4715ed965c49bfb15dedfc632787b32ff6d8c3a474182b231146ab7.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/body-8d679e925718b5e8e4b18e9a4fab37f7eaa99e43386459376559080ac8f2856a.css" /><link crossorigin="" href="https://fonts.gstatic.com/" rel="preconnect" /><link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&family=Gupter:wght@400;500;700&family=IBM+Plex+Mono:wght@300;400&family=Material+Symbols+Outlined:opsz,wght,FILL,GRAD@20,400,0,0&display=swap" rel="stylesheet" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/common-10fa40af19d25203774df2d4a03b9b5771b45109c2304968038e88a81d1215c5.css" /> <meta name="author" content="istván józsef farkas" /> <meta name="description" content="István József Farkas: 6 Followers, 6 Following, 20 Research papers. Research interests: Economic policy, Foreign Direct Investment, and Post modern marketing." /> <meta name="google-site-verification" content="bKJMBZA7E43xhDOopFZkssMMkBRjvYERV-NaN4R6mrs" /> <script> var $controller_name = 'works'; var $action_name = "summary"; var $rails_env = 'production'; var $app_rev = '0192aed340bff0301971519c3416a67fe8da52c1'; var $domain = 'academia.edu'; var $app_host = "academia.edu"; var $asset_host = "academia-assets.com"; var $start_time = new Date().getTime(); var $recaptcha_key = "6LdxlRMTAAAAADnu_zyLhLg0YF9uACwz78shpjJB"; var $recaptcha_invisible_key = "6Lf3KHUUAAAAACggoMpmGJdQDtiyrjVlvGJ6BbAj"; var $disableClientRecordHit = false; </script> <script> window.Aedu = { hit_data: null }; window.Aedu.SiteStats = {"premium_universities_count":15260,"monthly_visitors":"114 million","monthly_visitor_count":114645693,"monthly_visitor_count_in_millions":114,"user_count":278061182,"paper_count":55203019,"paper_count_in_millions":55,"page_count":432000000,"page_count_in_millions":432,"pdf_count":16500000,"pdf_count_in_millions":16}; window.Aedu.serverRenderTime = new Date(1733347403000); window.Aedu.timeDifference = new Date().getTime() - 1733347403000; window.Aedu.isUsingCssV1 = false; window.Aedu.enableLocalization = true; window.Aedu.activateFullstory = false; window.Aedu.serviceAvailability = { status: {"attention_db":"on","bibliography_db":"on","contacts_db":"on","email_db":"on","indexability_db":"on","mentions_db":"on","news_db":"on","notifications_db":"on","offsite_mentions_db":"on","redshift":"on","redshift_exports_db":"on","related_works_db":"on","ring_db":"on","user_tests_db":"on"}, serviceEnabled: function(service) { return this.status[service] === "on"; }, readEnabled: function(service) { return this.serviceEnabled(service) || this.status[service] === "read_only"; }, }; window.Aedu.viewApmTrace = function() { // Check if x-apm-trace-id meta tag is set, and open the trace in APM // in a new window if it is. var apmTraceId = document.head.querySelector('meta[name="x-apm-trace-id"]'); if (apmTraceId) { var traceId = apmTraceId.content; // Use trace ID to construct URL, an example URL looks like: // https://app.datadoghq.com/apm/traces?query=trace_id%31298410148923562634 var apmUrl = 'https://app.datadoghq.com/apm/traces?query=trace_id%3A' + traceId; window.open(apmUrl, '_blank'); } }; </script>  <link href="https://fonts.googleapis.com/css?family=Roboto:100,100i,300,300i,400,400i,500,500i,700,700i,900,900i" rel="stylesheet"> <link href="//maxcdn.bootstrapcdn.com/font-awesome/4.3.0/css/font-awesome.min.css" rel="stylesheet"> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/libraries-a9675dcb01ec4ef6aa807ba772c7a5a00c1820d3ff661c1038a20f80d06bb4e4.css" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/academia-bdb9e8c097f01e611f2fc5e2f1a9dc599beede975e2ae5629983543a1726e947.css" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system_legacy-056a9113b9a0f5343d013b29ee1929d5a18be35fdcdceb616600b4db8bd20054.css" /> <script src="//a.academia-assets.com/assets/webpack_bundles/runtime-bundle-005434038af4252ca37c527588411a3d6a0eabb5f727fac83f8bbe7fd88d93bb.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/webpack_libraries_and_infrequently_changed.wjs-bundle-bad3fa1257b860f4633ff1db966aa3ae7dfe1980708675f3e2488742c1a0d941.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/core_webpack.wjs-bundle-1c1498a5b24f10d2247f356d96ae785336598a8a91e69dfad306a1225e0ddaa3.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/sentry.wjs-bundle-5fe03fddca915c8ba0f7edbe64c194308e8ce5abaed7bffe1255ff37549c4808.js"></script> <script> jade = window.jade || {}; jade.helpers = window.$h; jade._ = window._; </script>  <script id="tag-manager-head-root">(function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start': new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0], j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src= 'https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f); })(window,document,'script','dataLayer_old','GTM-5G9JF7Z');</script>  <script> window.gptadslots = []; window.googletag = window.googletag || {}; window.googletag.cmd = window.googletag.cmd || []; </script> <script type="text/javascript"> // TODO(jacob): This should be defined, may be rare load order problem. // Checking if null is just a quick fix, will default to en if unset. // Better fix is to run this immedietely after I18n is set. if (window.I18n != null) { I18n.defaultLocale = "en"; I18n.locale = "en"; I18n.fallbacks = true; } </script> <link rel="canonical" href="https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas" /> </head>   <body class='c-profiles/works a-summary logged_out'>  <div id="fb-root"></div><script>window.fbAsyncInit = function() { FB.init({ appId: "2369844204", version: "v8.0", status: true, cookie: true, xfbml: true }); // Additional initialization code. if (window.InitFacebook) { // facebook.ts already loaded, set it up. window.InitFacebook(); } else { // Set a flag for facebook.ts to find when it loads. window.academiaAuthReadyFacebook = true; } };</script><script>window.fbAsyncLoad = function() { // Protection against double calling of this function if (window.FB) { return; } (function(d, s, id){ var js, fjs = d.getElementsByTagName(s)[0]; if (d.getElementById(id)) {return;} js = d.createElement(s); js.id = id; js.src = "//connect.facebook.net/en_US/sdk.js"; fjs.parentNode.insertBefore(js, fjs); }(document, 'script', 'facebook-jssdk')); } if (!window.defer_facebook) { // Autoload if not deferred window.fbAsyncLoad(); } else { // Defer loading by 5 seconds setTimeout(function() { window.fbAsyncLoad(); }, 5000); }</script> <div id="google-root"></div><script>window.loadGoogle = function() { if (window.InitGoogle) { // google.ts already loaded, set it up. window.InitGoogle("331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b"); } else { // Set a flag for google.ts to use when it loads. window.GoogleClientID = "331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b"; } };</script><script>window.googleAsyncLoad = function() { // Protection against double calling of this function (function(d) { var js; var id = 'google-jssdk'; var ref = d.getElementsByTagName('script')[0]; if (d.getElementById(id)) { return; } js = d.createElement('script'); js.id = id; js.async = true; js.onload = loadGoogle; js.src = "https://accounts.google.com/gsi/client" ref.parentNode.insertBefore(js, ref); }(document)); } if (!window.defer_google) { // Autoload if not deferred window.googleAsyncLoad(); } else { // Defer loading by 5 seconds setTimeout(function() { window.googleAsyncLoad(); }, 5000); }</script> <div id="tag-manager-body-root">  <noscript><iframe src="https://www.googletagmanager.com/ns.html?id=GTM-5G9JF7Z" height="0" width="0" style="display:none;visibility:hidden"></iframe></noscript>   <script> window.addEventListener('load', function() { if (document.querySelector('input[name="commit"]')) { document.querySelector('input[name="commit"]').addEventListener('click', function() { gtag('event', 'click', { event_category: 'button', event_label: 'Log In' }) }) } }); </script> </div> <script>var _comscore = _comscore || []; _comscore.push({ c1: "2", c2: "26766707" }); (function() { var s = document.createElement("script"), el = document.getElementsByTagName("script")[0]; s.async = true; s.src = (document.location.protocol == "https:" ? "https://sb" : "http://b") + ".scorecardresearch.com/beacon.js"; el.parentNode.insertBefore(s, el); })();</script><img src="https://sb.scorecardresearch.com/p?c1=2&c2=26766707&cv=2.0&cj=1" style="position: absolute; visibility: hidden" /> <div id='react-modal'></div> <div class='DesignSystem'> <a class='u-showOnFocus' href='#site'> Skip to main content </a> </div> <div id="upgrade_ie_banner" style="display: none;"><p>Academia.edu no longer supports Internet Explorer.</p><p>To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to <a href="https://www.academia.edu/upgrade-browser">upgrade your browser</a>.</p></div><script>// Show this banner for all versions of IE if (!!window.MSInputMethodContext || /(MSIE)/.test(navigator.userAgent)) { document.getElementById('upgrade_ie_banner').style.display = 'block'; }</script> <div class="DesignSystem bootstrap ShrinkableNav"><div class="navbar navbar-default main-header"><div class="container-wrapper" id="main-header-container"><div class="container"><div class="navbar-header"><div class="nav-left-wrapper u-mt0x"><div class="nav-logo"><a data-main-header-link-target="logo_home" href="https://www.academia.edu/"><img class="visible-xs-inline-block" style="height: 24px;" alt="Academia.edu" src="//a.academia-assets.com/images/academia-logo-redesign-2015-A.svg" width="24" height="24" /><img width="145.2" height="18" class="hidden-xs" style="height: 24px;" alt="Academia.edu" src="//a.academia-assets.com/images/academia-logo-redesign-2015.svg" /></a></div><div class="nav-search"><div class="SiteSearch-wrapper select2-no-default-pills"><form class="js-SiteSearch-form DesignSystem" action="https://www.academia.edu/search" accept-charset="UTF-8" method="get"><input name="utf8" type="hidden" value="✓" autocomplete="off" /><i class="SiteSearch-icon fa fa-search u-fw700 u-positionAbsolute u-tcGrayDark"></i><input class="js-SiteSearch-form-input SiteSearch-form-input form-control" data-main-header-click-target="search_input" name="q" placeholder="Search" type="text" value="" /></form></div></div></div><div class="nav-right-wrapper pull-right"><ul class="NavLinks js-main-nav list-unstyled"><li class="NavLinks-link"><a class="js-header-login-url Button Button--inverseGray Button--sm u-mb4x" id="nav_log_in" rel="nofollow" href="https://www.academia.edu/login">Log In</a></li><li class="NavLinks-link u-p0x"><a class="Button Button--inverseGray Button--sm u-mb4x" rel="nofollow" href="https://www.academia.edu/signup">Sign Up</a></li></ul><button class="hidden-lg hidden-md hidden-sm u-ml4x navbar-toggle collapsed" data-target=".js-mobile-header-links" data-toggle="collapse" type="button"><span class="icon-bar"></span><span class="icon-bar"></span><span class="icon-bar"></span></button></div></div><div class="collapse navbar-collapse js-mobile-header-links"><ul class="nav navbar-nav"><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/login">Log In</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/signup">Sign Up</a></li><li class="u-borderColorGrayLight u-borderBottom1 js-mobile-nav-expand-trigger"><a href="#">more&nbsp<span class="caret"></span></a></li><li><ul class="js-mobile-nav-expand-section nav navbar-nav u-m0x collapse"><li class="u-borderColorGrayLight u-borderBottom1"><a rel="false" href="https://www.academia.edu/about">About</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/press">Press</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://medium.com/@academia">Blog</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="false" href="https://www.academia.edu/documents">Papers</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/terms">Terms</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/privacy">Privacy</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/copyright">Copyright</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/hiring"><i class="fa fa-briefcase"></i> We're Hiring!</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://support.academia.edu/"><i class="fa fa-question-circle"></i> Help Center</a></li><li class="js-mobile-nav-collapse-trigger u-borderColorGrayLight u-borderBottom1 dropup" style="display:none"><a href="#">less&nbsp<span class="caret"></span></a></li></ul></li></ul></div></div></div><script>(function(){ var $moreLink = $(".js-mobile-nav-expand-trigger"); var $lessLink = $(".js-mobile-nav-collapse-trigger"); var $section = $('.js-mobile-nav-expand-section'); $moreLink.click(function(ev){ ev.preventDefault(); $moreLink.hide(); $lessLink.show(); $section.collapse('show'); }); $lessLink.click(function(ev){ ev.preventDefault(); $moreLink.show(); $lessLink.hide(); $section.collapse('hide'); }); })() if ($a.is_logged_in() || false) { new Aedu.NavigationController({ el: '.js-main-nav', showHighlightedNotification: false }); } else { $(".js-header-login-url").attr("href", $a.loginUrlWithRedirect()); } Aedu.autocompleteSearch = new AutocompleteSearch({el: '.js-SiteSearch-form'});</script></div></div> <div id='site' class='fixed'> <div id="content" class="clearfix"> <script>document.addEventListener('DOMContentLoaded', function(){ var $dismissible = $(".dismissible_banner"); $dismissible.click(function(ev) { $dismissible.hide(); }); });</script> <script src="//a.academia-assets.com/assets/webpack_bundles/profile.wjs-bundle-17644ae59ced91438c7249facf274fd709e81ac040257c194cabfdd0b8d3fceb.js" defer="defer"></script><script>Aedu.rankings = { showPaperRankingsLink: false } $viewedUser = Aedu.User.set_viewed( {"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas","photo":"https://0.academia-photos.com/65583089/24902524/23731223/s65_istv_n_j_zsef.farkas.jpg","has_photo":true,"is_analytics_public":false,"interests":[{"id":10220,"name":"Economic policy","url":"https://www.academia.edu/Documents/in/Economic_policy"},{"id":8759,"name":"Foreign Direct Investment","url":"https://www.academia.edu/Documents/in/Foreign_Direct_Investment"},{"id":237240,"name":"Post modern marketing","url":"https://www.academia.edu/Documents/in/Post_modern_marketing"},{"id":476541,"name":"Post-modern tourism","url":"https://www.academia.edu/Documents/in/Post-modern_tourism"},{"id":3131,"name":"Small Business","url":"https://www.academia.edu/Documents/in/Small_Business"}]} ); if ($a.is_logged_in() && $viewedUser.is_current_user()) { $('body').addClass('profile-viewed-by-owner'); } $socialProfiles = []</script><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas","location":"/Istv%C3%A1nJ%C3%B3zsefFarkas","scheme":"https","host":"independent.academia.edu","port":null,"pathname":"/Istv%C3%A1nJ%C3%B3zsefFarkas","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="ProfileCheckPaperUpdate" data-props="{}" data-trace="false" data-dom-id="ProfileCheckPaperUpdate-react-component-9910c744-ddd3-4f6d-b6d8-1365589b275a"></div> <div id="ProfileCheckPaperUpdate-react-component-9910c744-ddd3-4f6d-b6d8-1365589b275a"></div> <div class="DesignSystem"><div class="onsite-ping" id="onsite-ping"></div></div><div class="profile-user-info DesignSystem"><div class="social-profile-container"><div class="left-panel-container"><div class="user-info-component-wrapper"><div class="user-summary-cta-container"><div class="user-summary-container"><div class="social-profile-avatar-container"><img class="profile-avatar u-positionAbsolute" alt="István József Farkas" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/65583089/24902524/23731223/s200_istv_n_j_zsef.farkas.jpg" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">István József Farkas</h1><div class="affiliations-container fake-truncate js-profile-affiliations"></div></div></div><div class="sidebar-cta-container"><button class="ds2-5-button hidden profile-cta-button grow js-profile-follow-button" data-broccoli-component="user-info.follow-button" data-click-track="profile-user-info-follow-button" data-follow-user-fname="István József" data-follow-user-id="65583089" data-follow-user-source="profile_button" data-has-google="false"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">add</span>Follow</button><button class="ds2-5-button hidden profile-cta-button grow js-profile-unfollow-button" data-broccoli-component="user-info.unfollow-button" data-click-track="profile-user-info-unfollow-button" data-unfollow-user-id="65583089"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">done</span>Following</button></div></div><div class="user-stats-container"><a><div class="stat-container js-profile-followers"><p class="label">Followers</p><p class="data">6</p></div></a><a><div class="stat-container js-profile-followees" data-broccoli-component="user-info.followees-count" data-click-track="profile-expand-user-info-following"><p class="label">Following</p><p class="data">6</p></div></a><a href="/Istv%C3%A1nJ%C3%B3zsefFarkas/mentions"><div class="stat-container"><p class="label">Mentions</p><p class="data">1</p></div></a><span><div class="stat-container"><p class="label"><span class="js-profile-total-view-text">Public Views</span></p><p class="data"><span class="js-profile-view-count"></span></p></div></span></div><div class="ri-section"><div class="ri-section-header"><span>Interests</span></div><div class="ri-tags-container"><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="65583089" href="https://www.academia.edu/Documents/in/Economic_policy"><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas","location":"/Istv%C3%A1nJ%C3%B3zsefFarkas","scheme":"https","host":"independent.academia.edu","port":null,"pathname":"/Istv%C3%A1nJ%C3%B3zsefFarkas","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Economic policy"]}" data-trace="false" data-dom-id="Pill-react-component-b406635e-822a-40bc-89c4-127fdfdc58ac"></div> <div id="Pill-react-component-b406635e-822a-40bc-89c4-127fdfdc58ac"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="65583089" href="https://www.academia.edu/Documents/in/Foreign_Direct_Investment"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Foreign Direct Investment"]}" data-trace="false" data-dom-id="Pill-react-component-bf73c744-59c2-45a5-a61c-cd233daab334"></div> <div id="Pill-react-component-bf73c744-59c2-45a5-a61c-cd233daab334"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="65583089" href="https://www.academia.edu/Documents/in/Post_modern_marketing"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Post modern marketing"]}" data-trace="false" data-dom-id="Pill-react-component-3051a32c-dd40-4ba9-8d3c-94e9dd7c929c"></div> <div id="Pill-react-component-3051a32c-dd40-4ba9-8d3c-94e9dd7c929c"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="65583089" href="https://www.academia.edu/Documents/in/Post-modern_tourism"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Post-modern tourism"]}" data-trace="false" data-dom-id="Pill-react-component-d99076f7-300f-4b64-910c-76e8aea81fb6"></div> <div id="Pill-react-component-d99076f7-300f-4b64-910c-76e8aea81fb6"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="65583089" href="https://www.academia.edu/Documents/in/Small_Business"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Small Business"]}" data-trace="false" data-dom-id="Pill-react-component-26bb96da-73b4-416c-880c-52dce0e24251"></div> <div id="Pill-react-component-26bb96da-73b4-416c-880c-52dce0e24251"></div> </a></div></div></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="nav-container backbone-profile-documents-nav hidden-xs"><ul class="nav-tablist" role="tablist"><li class="nav-chip active" role="presentation"><a data-section-name="" data-toggle="tab" href="#all" role="tab">all</a></li><li class="nav-chip" role="presentation"><a class="js-profile-docs-nav-section u-textTruncate" data-click-track="profile-works-tab" data-section-name="Thesis-Chapters" data-toggle="tab" href="#thesischapters" role="tab" title="Thesis Chapters"><span>1</span> <span class="ds2-5-body-sm-bold">Thesis Chapters</span></a></li><li class="nav-chip" role="presentation"><a class="js-profile-docs-nav-section u-textTruncate" data-click-track="profile-works-tab" data-section-name="Papers" data-toggle="tab" href="#papers" role="tab" title="Papers"><span>19</span> <span class="ds2-5-body-sm-bold">Papers</span></a></li></ul></div><div class="divider ds-divider-16" style="margin: 0px;"></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Thesis Chapters" id="Thesis Chapters"><h3 class="profile--tab_heading_container">Thesis Chapters by István József Farkas</h3></div><div class="js-work-strip profile--work_container" data-work-id="33495005"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/33495005/A_Semiotically_Oriented_Cognitive_Model_of_Knowledge_Representation"><img alt="Research paper thumbnail of A Semiotically Oriented Cognitive Model of Knowledge Representation" class="work-thumbnail" src="https://attachments.academia-assets.com/53535050/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/33495005/A_Semiotically_Oriented_Cognitive_Model_of_Knowledge_Representation">A Semiotically Oriented Cognitive Model of Knowledge Representation</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Good day....</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="12f69f4b538ce71c0b311bc37734f66c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":53535050,"asset_id":33495005,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/53535050/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="33495005"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="33495005"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 33495005; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=33495005]").text(description); $(".js-view-count[data-work-id=33495005]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 33495005; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='33495005']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 33495005, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "12f69f4b538ce71c0b311bc37734f66c" } } $('.js-work-strip[data-work-id=33495005]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":33495005,"title":"A Semiotically Oriented Cognitive Model of Knowledge Representation","translated_title":"","metadata":{"abstract":"Good day...."},"translated_abstract":"Good day....","internal_url":"https://www.academia.edu/33495005/A_Semiotically_Oriented_Cognitive_Model_of_Knowledge_Representation","translated_internal_url":"","created_at":"2017-06-15T22:52:19.540-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"thesis_chapter","co_author_tags":[{"id":29366922,"work_id":33495005,"tagging_user_id":65583089,"tagged_user_id":null,"co_author_invite_id":3504934,"email":"j***f@maths.stir.ac.uk","display_order":1,"name":"József Farkas","title":"A Semiotically Oriented Cognitive Model of Knowledge Representation"}],"downloadable_attachments":[{"id":53535050,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/53535050/thumbnails/1.jpg","file_name":"PhD_thesis.pdf","download_url":"https://www.academia.edu/attachments/53535050/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Semiotically_Oriented_Cognitive_Model.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/53535050/PhD_thesis-libre.pdf?1497592428=\u0026response-content-disposition=attachment%3B+filename%3DA_Semiotically_Oriented_Cognitive_Model.pdf\u0026Expires=1733338056\u0026Signature=JNWCGxvajZa8bnB83BvVfBiyXTxniUP6StAhaJwQlfyalfqKCpkp4Kqxz0GzUDPjvUp-NeLEWg9f60AC36WuskBSD5e25-qDoHKVGy6G8Yt88vwm-YDnqNSm-pKJKnprqyY16kx8HbRL8LfMf301ANcRAVUeGLU94G2q9CPn5STCBj0vkx6EzgIJbo~dFYR6jkXanJEeaEeibnh6YQXgzUn0oXprliN7RWkJ836Vrm-xFBRu7LJ1EfySNTyTC099X1nruqitRXvG11xy2Dl~tvG9ddl9tXNEG3TE~zuCtHiTPtNZrwO4VxfrgZToAaDsBbUbkRZeSaZ5te5skJTS7A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_Semiotically_Oriented_Cognitive_Model_of_Knowledge_Representation","translated_slug":"","page_count":209,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":53535050,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/53535050/thumbnails/1.jpg","file_name":"PhD_thesis.pdf","download_url":"https://www.academia.edu/attachments/53535050/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Semiotically_Oriented_Cognitive_Model.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/53535050/PhD_thesis-libre.pdf?1497592428=\u0026response-content-disposition=attachment%3B+filename%3DA_Semiotically_Oriented_Cognitive_Model.pdf\u0026Expires=1733338056\u0026Signature=JNWCGxvajZa8bnB83BvVfBiyXTxniUP6StAhaJwQlfyalfqKCpkp4Kqxz0GzUDPjvUp-NeLEWg9f60AC36WuskBSD5e25-qDoHKVGy6G8Yt88vwm-YDnqNSm-pKJKnprqyY16kx8HbRL8LfMf301ANcRAVUeGLU94G2q9CPn5STCBj0vkx6EzgIJbo~dFYR6jkXanJEeaEeibnh6YQXgzUn0oXprliN7RWkJ836Vrm-xFBRu7LJ1EfySNTyTC099X1nruqitRXvG11xy2Dl~tvG9ddl9tXNEG3TE~zuCtHiTPtNZrwO4VxfrgZToAaDsBbUbkRZeSaZ5te5skJTS7A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by István József Farkas</h3></div><div class="js-work-strip profile--work_container" data-work-id="124093548"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/124093548/Selektive_Spaltung_von_Glykosiden_V_Spaltung_von_Hepta_O_acetylamygdalin_mit_Dichlormethyl_methyl_%C3%A4ther"><img alt="Research paper thumbnail of Selektive Spaltung von Glykosiden, V. Spaltung von Hepta‐O‐acetylamygdalin mit Dichlormethyl‐(methyl)äther" class="work-thumbnail" src="https://attachments.academia-assets.com/118381247/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124093548/Selektive_Spaltung_von_Glykosiden_V_Spaltung_von_Hepta_O_acetylamygdalin_mit_Dichlormethyl_methyl_%C3%A4ther">Selektive Spaltung von Glykosiden, V. Spaltung von Hepta‐O‐acetylamygdalin mit Dichlormethyl‐(methyl)äther</a></div><div class="wp-workCard_item"><span>Justus Liebigs Annalen der Chemie</span><span>, 1976</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Aus Hepta‐U‐acetylamygdalin (1) entsteht durch Einwirkung von Dichlormethyl(methyl)‐äther/ZnCl2 s...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Aus Hepta‐U‐acetylamygdalin (1) entsteht durch Einwirkung von Dichlormethyl(methyl)‐äther/ZnCl2 selektiv und in guter Ausbeute Hepta‐U‐acetyl‐α‐gentiobiosylchlorid (2) sowie α‐Chlor‐α‐formylbenzylcyanid (3), das mit heißer, konzentrierter Salzsäure zu DL‐Mandelsäure (5) hydrolysiert wird. Aus den Ergebnissen von Modellversuchen ergibt sich, daß 3 wahrscheinlich auf dem Wege über das Carbeniumion 3a gebildet wird. ‐ Methyl‐hepta‐U‐acetyl‐β‐gentiobiosid, das eine bisher unbekannte Modifikation mit Schmp. 136‐ 137°C besitzt, läßt sich mit Dichlormethyl(methyl)äther/ZnC12 ebenfalls selektiv zu 2 umsetzen.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="16dacb555349a9dcd4fcf2eac2e1229b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118381247,"asset_id":124093548,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118381247/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124093548"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124093548"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124093548; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124093548]").text(description); $(".js-view-count[data-work-id=124093548]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124093548; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124093548']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 124093548, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "16dacb555349a9dcd4fcf2eac2e1229b" } } $('.js-work-strip[data-work-id=124093548]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124093548,"title":"Selektive Spaltung von Glykosiden, V. Spaltung von Hepta‐O‐acetylamygdalin mit Dichlormethyl‐(methyl)äther","translated_title":"","metadata":{"abstract":"Aus Hepta‐U‐acetylamygdalin (1) entsteht durch Einwirkung von Dichlormethyl(methyl)‐äther/ZnCl2 selektiv und in guter Ausbeute Hepta‐U‐acetyl‐α‐gentiobiosylchlorid (2) sowie α‐Chlor‐α‐formylbenzylcyanid (3), das mit heißer, konzentrierter Salzsäure zu DL‐Mandelsäure (5) hydrolysiert wird. Aus den Ergebnissen von Modellversuchen ergibt sich, daß 3 wahrscheinlich auf dem Wege über das Carbeniumion 3a gebildet wird. ‐ Methyl‐hepta‐U‐acetyl‐β‐gentiobiosid, das eine bisher unbekannte Modifikation mit Schmp. 136‐ 137°C besitzt, läßt sich mit Dichlormethyl(methyl)äther/ZnC12 ebenfalls selektiv zu 2 umsetzen.","publisher":"Wiley","publication_date":{"day":null,"month":null,"year":1976,"errors":{}},"publication_name":"Justus Liebigs Annalen der Chemie"},"translated_abstract":"Aus Hepta‐U‐acetylamygdalin (1) entsteht durch Einwirkung von Dichlormethyl(methyl)‐äther/ZnCl2 selektiv und in guter Ausbeute Hepta‐U‐acetyl‐α‐gentiobiosylchlorid (2) sowie α‐Chlor‐α‐formylbenzylcyanid (3), das mit heißer, konzentrierter Salzsäure zu DL‐Mandelsäure (5) hydrolysiert wird. Aus den Ergebnissen von Modellversuchen ergibt sich, daß 3 wahrscheinlich auf dem Wege über das Carbeniumion 3a gebildet wird. ‐ Methyl‐hepta‐U‐acetyl‐β‐gentiobiosid, das eine bisher unbekannte Modifikation mit Schmp. 136‐ 137°C besitzt, läßt sich mit Dichlormethyl(methyl)äther/ZnC12 ebenfalls selektiv zu 2 umsetzen.","internal_url":"https://www.academia.edu/124093548/Selektive_Spaltung_von_Glykosiden_V_Spaltung_von_Hepta_O_acetylamygdalin_mit_Dichlormethyl_methyl_%C3%A4ther","translated_internal_url":"","created_at":"2024-09-22T23:37:26.980-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":118381247,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/118381247/thumbnails/1.jpg","file_name":"jlac.19761976030920240923-1-gjdz2z.pdf","download_url":"https://www.academia.edu/attachments/118381247/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Selektive_Spaltung_von_Glykosiden_V_Spal.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/118381247/jlac.19761976030920240923-1-gjdz2z-libre.pdf?1727075607=\u0026response-content-disposition=attachment%3B+filename%3DSelektive_Spaltung_von_Glykosiden_V_Spal.pdf\u0026Expires=1733338056\u0026Signature=e0b-aLWuiXu5Wo3sfVd9GuSYXp-ASsrx0V7VxPKovrhcwP5sbDdpfgD38Sqx4ynzkqRvKoNlS~V0s2zAm57JG0n0zP1~DFqgmcOJ-ruMmjkNfBSR2Q1ig8FpPzFg2u4~bUmNe1qgmQOywLgRIxPcucyJmHfjP2FbDhkqKF5xSlrU~aG7Urx36dLXVGmKbcaZ4iMynorwVQv-A2~8SboY8kweENfbAOanlsOxPiBTTyOHr~3hg-nSZ8iy1Er0hDaJeGl2oS1ruX3mBJpepGZwCldU9N89ipxHG-uqpSr~CDWxvYlrVQmB8lp-VSgRumRHo3ew73cU7duv6~s5e9EmzQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Selektive_Spaltung_von_Glykosiden_V_Spaltung_von_Hepta_O_acetylamygdalin_mit_Dichlormethyl_methyl_äther","translated_slug":"","page_count":10,"language":"de","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":118381247,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/118381247/thumbnails/1.jpg","file_name":"jlac.19761976030920240923-1-gjdz2z.pdf","download_url":"https://www.academia.edu/attachments/118381247/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Selektive_Spaltung_von_Glykosiden_V_Spal.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/118381247/jlac.19761976030920240923-1-gjdz2z-libre.pdf?1727075607=\u0026response-content-disposition=attachment%3B+filename%3DSelektive_Spaltung_von_Glykosiden_V_Spal.pdf\u0026Expires=1733338056\u0026Signature=e0b-aLWuiXu5Wo3sfVd9GuSYXp-ASsrx0V7VxPKovrhcwP5sbDdpfgD38Sqx4ynzkqRvKoNlS~V0s2zAm57JG0n0zP1~DFqgmcOJ-ruMmjkNfBSR2Q1ig8FpPzFg2u4~bUmNe1qgmQOywLgRIxPcucyJmHfjP2FbDhkqKF5xSlrU~aG7Urx36dLXVGmKbcaZ4iMynorwVQv-A2~8SboY8kweENfbAOanlsOxPiBTTyOHr~3hg-nSZ8iy1Er0hDaJeGl2oS1ruX3mBJpepGZwCldU9N89ipxHG-uqpSr~CDWxvYlrVQmB8lp-VSgRumRHo3ew73cU7duv6~s5e9EmzQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":531,"name":"Organic Chemistry","url":"https://www.academia.edu/Documents/in/Organic_Chemistry"}],"urls":[{"id":44787525,"url":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjlac.197619760309"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115583488"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115583488/Knowledge_Representation_as_a_Tool_for_Intelligence_Augmentation"><img alt="Research paper thumbnail of Knowledge Representation as a Tool for Intelligence Augmentation" class="work-thumbnail" src="https://attachments.academia-assets.com/111948755/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115583488/Knowledge_Representation_as_a_Tool_for_Intelligence_Augmentation">Knowledge Representation as a Tool for Intelligence Augmentation</a></div><div class="wp-workCard_item"><span>Current State and Future Perspectives</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The goal of Intelligence Augmentation (IA) is the development of tools that improve the efficienc...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The goal of Intelligence Augmentation (IA) is the development of tools that improve the efficiency of human intelligence. To this end, the authors of this chapter introduce a model of human conceptualization on the basis of a cognitive theory of information processing and a Peircean theory of signs. An account of two experiments is provided. The first concerns conceptualization by individuals, and the second describes how problem elicitation was approached by a team of participants. A preliminary analysis of the results shows that the proposed model is congruent with multi channel and multi purpose human information processing. This implies that the cognitive model can be used as a model for knowledge representation in various fields of human-computer interfacing such as computer aided problem solving and problem elicitation.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="2a601f8f9a0cedfdab694f98e8f8ae22" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111948755,"asset_id":115583488,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111948755/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115583488"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115583488"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115583488; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115583488]").text(description); $(".js-view-count[data-work-id=115583488]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115583488; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115583488']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115583488, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "2a601f8f9a0cedfdab694f98e8f8ae22" } } $('.js-work-strip[data-work-id=115583488]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115583488,"title":"Knowledge Representation as a Tool for Intelligence Augmentation","translated_title":"","metadata":{"abstract":"The goal of Intelligence Augmentation (IA) is the development of tools that improve the efficiency of human intelligence. To this end, the authors of this chapter introduce a model of human conceptualization on the basis of a cognitive theory of information processing and a Peircean theory of signs. An account of two experiments is provided. The first concerns conceptualization by individuals, and the second describes how problem elicitation was approached by a team of participants. A preliminary analysis of the results shows that the proposed model is congruent with multi channel and multi purpose human information processing. This implies that the cognitive model can be used as a model for knowledge representation in various fields of human-computer interfacing such as computer aided problem solving and problem elicitation.","publisher":"IGI Global","publication_name":"Current State and Future Perspectives"},"translated_abstract":"The goal of Intelligence Augmentation (IA) is the development of tools that improve the efficiency of human intelligence. To this end, the authors of this chapter introduce a model of human conceptualization on the basis of a cognitive theory of information processing and a Peircean theory of signs. An account of two experiments is provided. The first concerns conceptualization by individuals, and the second describes how problem elicitation was approached by a team of participants. A preliminary analysis of the results shows that the proposed model is congruent with multi channel and multi purpose human information processing. This implies that the cognitive model can be used as a model for knowledge representation in various fields of human-computer interfacing such as computer aided problem solving and problem elicitation.","internal_url":"https://www.academia.edu/115583488/Knowledge_Representation_as_a_Tool_for_Intelligence_Augmentation","translated_internal_url":"","created_at":"2024-02-29T02:51:01.451-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":42443509,"work_id":115583488,"tagging_user_id":65583089,"tagged_user_id":null,"co_author_invite_id":8085229,"email":"j***s@memphis.edu","display_order":0,"name":"Jozsef Farkas","title":"Knowledge Representation as a Tool for Intelligence Augmentation"},{"id":42443510,"work_id":115583488,"tagging_user_id":65583089,"tagged_user_id":81962714,"co_author_invite_id":null,"email":"j***s@cs.ru.nl","display_order":1073741824,"name":"Janos Sarbo","title":"Knowledge Representation as a Tool for Intelligence Augmentation"},{"id":42443511,"work_id":115583488,"tagging_user_id":65583089,"tagged_user_id":154615857,"co_author_invite_id":null,"email":"a***n@gmail.com","display_order":1610612736,"name":"Auke Breemen","title":"Knowledge Representation as a Tool for Intelligence Augmentation"}],"downloadable_attachments":[{"id":111948755,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111948755/thumbnails/1.jpg","file_name":"91980.pdf","download_url":"https://www.academia.edu/attachments/111948755/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Knowledge_Representation_as_a_Tool_for_I.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111948755/91980-libre.pdf?1709204057=\u0026response-content-disposition=attachment%3B+filename%3DKnowledge_Representation_as_a_Tool_for_I.pdf\u0026Expires=1733338056\u0026Signature=dMcwZcsB4SqKzVPuNFipAwnStQu4mYTo-VKRFpYAdU~Est1aBic~RlKkYA6NgDw34~S6cqTb-69sSEgZOoZIYsP8tCOdScEjk7S-U3WP-BZ~kuCIqofIFcQX5biF8iEU-2I1MM5lFO5g-YtH1UdcT0wVE3d2eBRA7dQjk52c4dP-OJFb84Jl8TcB7JNG850dSpxKQFjVuwji3Cl2UJzfY1sffA6zgF01pJ3MKfj5q72die7lsTfGkDDrrFC2B3-ur9T-098auIWLbHtTTVaUTVBbbWG865e05csWQYs3JZd21RK-48QHQolCfYt7BzWoqm9v6BnNMAkdGUnrkggcRg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Knowledge_Representation_as_a_Tool_for_Intelligence_Augmentation","translated_slug":"","page_count":4,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":111948755,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111948755/thumbnails/1.jpg","file_name":"91980.pdf","download_url":"https://www.academia.edu/attachments/111948755/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Knowledge_Representation_as_a_Tool_for_I.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111948755/91980-libre.pdf?1709204057=\u0026response-content-disposition=attachment%3B+filename%3DKnowledge_Representation_as_a_Tool_for_I.pdf\u0026Expires=1733338056\u0026Signature=dMcwZcsB4SqKzVPuNFipAwnStQu4mYTo-VKRFpYAdU~Est1aBic~RlKkYA6NgDw34~S6cqTb-69sSEgZOoZIYsP8tCOdScEjk7S-U3WP-BZ~kuCIqofIFcQX5biF8iEU-2I1MM5lFO5g-YtH1UdcT0wVE3d2eBRA7dQjk52c4dP-OJFb84Jl8TcB7JNG850dSpxKQFjVuwji3Cl2UJzfY1sffA6zgF01pJ3MKfj5q72die7lsTfGkDDrrFC2B3-ur9T-098auIWLbHtTTVaUTVBbbWG865e05csWQYs3JZd21RK-48QHQolCfYt7BzWoqm9v6BnNMAkdGUnrkggcRg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":22615,"name":"Knowledge Representation","url":"https://www.academia.edu/Documents/in/Knowledge_Representation"},{"id":69100,"name":"Data Science","url":"https://www.academia.edu/Documents/in/Data_Science"},{"id":1763882,"name":"Representation Politics","url":"https://www.academia.edu/Documents/in/Representation_Politics"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115583486"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115583486/A_Peircean_Ontology_of_Semantics"><img alt="Research paper thumbnail of A Peircean Ontology of Semantics" class="work-thumbnail" src="https://attachments.academia-assets.com/111948740/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115583486/A_Peircean_Ontology_of_Semantics">A Peircean Ontology of Semantics</a></div><div class="wp-workCard_item"><span>Lecture Notes in Computer Science</span><span>, 2002</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="108d4d4ca759e131bfd4288721641466" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111948740,"asset_id":115583486,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111948740/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115583486"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115583486"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115583486; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115583486]").text(description); $(".js-view-count[data-work-id=115583486]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115583486; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115583486']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115583486, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "108d4d4ca759e131bfd4288721641466" } } $('.js-work-strip[data-work-id=115583486]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115583486,"title":"A Peircean Ontology of Semantics","translated_title":"","metadata":{"ai_title_tag":"Modeling Semantic Signs through Peircean Semiotics","grobid_abstract":"Peirce's semiotics can be effectively used for modeling different sorts of signs. In this paper it is argued that semantic signs, which are signs from the semantic point of view, are no exception. It turns out, however, that a proper modeling of semantic signs needs a better understanding of the concept of qualisigns, as well as, of the relation between Peirce's categories and his theory of signs. 1 Introduction Recently we introduced a cognitively based model for Peirce's semiotics and its application to Boolean logical ([4]), morphological and syntactical ([8]), and syllogistic logical signs ([9]). The purpose of this paper is an attempt to use our theory to semantic signs as well. We will argue that the cognition of such signs amounts to a process which, by merging sensory and memory input qualities, represents the observed phenomenon as a proposition. In this paper, we will refer by semantics to such a cognitive process. It will be argued that the perception of a phenomenon involves the generation of semantic signs signifying the relation between external (sensory) and internal (memory) information. Such a process is Peircean in spirit: although our perception of the 'real' world phenomena arises from our thoughts, which are facts ([12]), only those thoughts will appear in our conception which are forced by the hard reality ([1]). A related problem discussed by Peirce is perceptual judgment ([7]5.15). What makes Peirce's framework especially attractive, is the fact that it allows for a single approach which can be uniformly applied for modeling the external input and internal knowledge, as well as, their relation. The purpose of this paper is an attempt to give a Peircean account of this last aspect of relation. An essential constituent of the above approach is Peirce's classification of signs ([7]2.243) which consists of nine kinds of aspects, or signs, that can be distinguished in the 'real' world. Another component is the concept of a sign interaction ([3]) which reveals how signs can emerge from other signs. Notice that sign interactions are a consequence of the inherently dynamic character of Peirce's definition of a sign. The semantic model presented in this paper can be said to be a preamble of the other models of signs mentioned above. That our earlier and current results are compatible, indicates the robustness of our cognitive interpretation of Peirce's semiotics. The late introduction of a Peircean model for semantics can be justified by the fact that semantic rules are typically more complex than, for example, the rules of syntax.","publication_date":{"day":null,"month":null,"year":2002,"errors":{}},"publication_name":"Lecture Notes in Computer Science","grobid_abstract_attachment_id":111948740},"translated_abstract":null,"internal_url":"https://www.academia.edu/115583486/A_Peircean_Ontology_of_Semantics","translated_internal_url":"","created_at":"2024-02-29T02:51:00.426-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":111948740,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111948740/thumbnails/1.jpg","file_name":"sem02.pdf","download_url":"https://www.academia.edu/attachments/111948740/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Peircean_Ontology_of_Semantics.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111948740/sem02-libre.pdf?1709204061=\u0026response-content-disposition=attachment%3B+filename%3DA_Peircean_Ontology_of_Semantics.pdf\u0026Expires=1733338056\u0026Signature=anO4mVFBBfA-opjnZAcREQX01ad3VTDmiB7lx8xX6zsbwfEaG99bw4yj6IPRcMYb9NB5vJ0oncaisn7BXp8p9mDixtBo0I3qy01tm3sudNeKPIhwAxJsaqW87yhmx4gD-aJDC-JQQPtkcz2NZgp4yjOL5~Yf9owVwuyo0IzXJ565WsCyiDS-Hw7Nfw~kTuPTpFyYdRIABF5H8nTrPYHAZVHaAv0S92K4X~OjtUOreFKdWswR3H22ImPE3IsPJResLE0n0OzDGZR-9IQs93glDSIPl0H9JNfsM4GsQbpze5uQUCOa4Z7UfHayDm47ml9vJ--pylbYqL3KPTJ8n8waPg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_Peircean_Ontology_of_Semantics","translated_slug":"","page_count":14,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":111948740,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111948740/thumbnails/1.jpg","file_name":"sem02.pdf","download_url":"https://www.academia.edu/attachments/111948740/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Peircean_Ontology_of_Semantics.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111948740/sem02-libre.pdf?1709204061=\u0026response-content-disposition=attachment%3B+filename%3DA_Peircean_Ontology_of_Semantics.pdf\u0026Expires=1733338056\u0026Signature=anO4mVFBBfA-opjnZAcREQX01ad3VTDmiB7lx8xX6zsbwfEaG99bw4yj6IPRcMYb9NB5vJ0oncaisn7BXp8p9mDixtBo0I3qy01tm3sudNeKPIhwAxJsaqW87yhmx4gD-aJDC-JQQPtkcz2NZgp4yjOL5~Yf9owVwuyo0IzXJ565WsCyiDS-Hw7Nfw~kTuPTpFyYdRIABF5H8nTrPYHAZVHaAv0S92K4X~OjtUOreFKdWswR3H22ImPE3IsPJResLE0n0OzDGZR-9IQs93glDSIPl0H9JNfsM4GsQbpze5uQUCOa4Z7UfHayDm47ml9vJ--pylbYqL3KPTJ8n8waPg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":98,"name":"Semiotics","url":"https://www.academia.edu/Documents/in/Semiotics"},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":805,"name":"Ontology","url":"https://www.academia.edu/Documents/in/Ontology"},{"id":31207,"name":"Semantics (Computer Science)","url":"https://www.academia.edu/Documents/in/Semantics_Computer_Science_"},{"id":69100,"name":"Data Science","url":"https://www.academia.edu/Documents/in/Data_Science"},{"id":3647879,"name":"Springer Ebooks","url":"https://www.academia.edu/Documents/in/Springer_Ebooks"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115583485"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115583485/A_Linearly_Complex_Model_for_Knowledge_Representation"><img alt="Research paper thumbnail of A Linearly Complex Model for Knowledge Representation" class="work-thumbnail" src="https://attachments.academia-assets.com/111948739/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115583485/A_Linearly_Complex_Model_for_Knowledge_Representation">A Linearly Complex Model for Knowledge Representation</a></div><div class="wp-workCard_item"><span>Lecture Notes in Computer Science</span><span>, 2002</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e3854ae0f57f3ba10acebe102db295f3" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111948739,"asset_id":115583485,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111948739/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115583485"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115583485"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115583485; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115583485]").text(description); $(".js-view-count[data-work-id=115583485]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115583485; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115583485']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115583485, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "e3854ae0f57f3ba10acebe102db295f3" } } $('.js-work-strip[data-work-id=115583485]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115583485,"title":"A Linearly Complex Model for Knowledge Representation","translated_title":"","metadata":{"grobid_abstract":"We present two results which complete our Peircean semiotic model of signs introduced in [10]. The first result is concerned with the potential of our model for the representation of knowledge. The second one consists of a formal proof about the model's complexity.","publication_date":{"day":null,"month":null,"year":2002,"errors":{}},"publication_name":"Lecture Notes in Computer Science","grobid_abstract_attachment_id":111948739},"translated_abstract":null,"internal_url":"https://www.academia.edu/115583485/A_Linearly_Complex_Model_for_Knowledge_Representation","translated_internal_url":"","created_at":"2024-02-29T02:51:00.240-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":111948739,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111948739/thumbnails/1.jpg","file_name":"know02.pdf","download_url":"https://www.academia.edu/attachments/111948739/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Linearly_Complex_Model_for_Knowledge_R.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111948739/know02-libre.pdf?1709204061=\u0026response-content-disposition=attachment%3B+filename%3DA_Linearly_Complex_Model_for_Knowledge_R.pdf\u0026Expires=1733338056\u0026Signature=QHSApPTUFhbnYNVFJ43StIbdoXgycmNDi-MRoBMsGCuJMdAivP9wW3vttHrpTneZCX-pOm14c8Tq153GcCmdLd0tBgezUWVn6li3UGdxv6ZBbOkzE3Iz0zIM0MpoEVhniCmdB58i6dG4lpaqDStjtk7z0wyqLI2tfdlNWkfTY9VzKTm0ICBT-wHqKZwycaXKND7ITdeJdnP6s2Q5ey7v~cD~1SlvvlyrRRogIJ69Id73OSXujCUbjqM4EjFqzuH8kM3GkXrEAbv7yxn35wStb9n~Dp9E6vAYbCzaPZtyAdyi2uHdN-1zHtdfzpMtNggKjma5hg8Ex-lceQDnkSpKOg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_Linearly_Complex_Model_for_Knowledge_Representation","translated_slug":"","page_count":14,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":111948739,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111948739/thumbnails/1.jpg","file_name":"know02.pdf","download_url":"https://www.academia.edu/attachments/111948739/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Linearly_Complex_Model_for_Knowledge_R.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111948739/know02-libre.pdf?1709204061=\u0026response-content-disposition=attachment%3B+filename%3DA_Linearly_Complex_Model_for_Knowledge_R.pdf\u0026Expires=1733338056\u0026Signature=QHSApPTUFhbnYNVFJ43StIbdoXgycmNDi-MRoBMsGCuJMdAivP9wW3vttHrpTneZCX-pOm14c8Tq153GcCmdLd0tBgezUWVn6li3UGdxv6ZBbOkzE3Iz0zIM0MpoEVhniCmdB58i6dG4lpaqDStjtk7z0wyqLI2tfdlNWkfTY9VzKTm0ICBT-wHqKZwycaXKND7ITdeJdnP6s2Q5ey7v~cD~1SlvvlyrRRogIJ69Id73OSXujCUbjqM4EjFqzuH8kM3GkXrEAbv7yxn35wStb9n~Dp9E6vAYbCzaPZtyAdyi2uHdN-1zHtdfzpMtNggKjma5hg8Ex-lceQDnkSpKOg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":98,"name":"Semiotics","url":"https://www.academia.edu/Documents/in/Semiotics"},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":287095,"name":"Knowledge Representation and Reasoning","url":"https://www.academia.edu/Documents/in/Knowledge_Representation_and_Reasoning"},{"id":1763882,"name":"Representation Politics","url":"https://www.academia.edu/Documents/in/Representation_Politics"},{"id":3647879,"name":"Springer Ebooks","url":"https://www.academia.edu/Documents/in/Springer_Ebooks"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115583484"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115583484/Knowledge_in_Formation"><img alt="Research paper thumbnail of Knowledge in Formation" class="work-thumbnail" src="https://attachments.academia-assets.com/111948741/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115583484/Knowledge_in_Formation">Knowledge in Formation</a></div><div class="wp-workCard_item"><span>Cognitive Technologies</span><span>, 2011</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d364f9d4a11c436336397c0b4c59798e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111948741,"asset_id":115583484,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111948741/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115583484"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115583484"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115583484; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115583484]").text(description); $(".js-view-count[data-work-id=115583484]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115583484; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115583484']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115583484, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "d364f9d4a11c436336397c0b4c59798e" } } $('.js-work-strip[data-work-id=115583484]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115583484,"title":"Knowledge in Formation","translated_title":"","metadata":{"publisher":"Springer Berlin Heidelberg","grobid_abstract":"The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.","publication_date":{"day":null,"month":null,"year":2011,"errors":{}},"publication_name":"Cognitive Technologies","grobid_abstract_attachment_id":111948741},"translated_abstract":null,"internal_url":"https://www.academia.edu/115583484/Knowledge_in_Formation","translated_internal_url":"","created_at":"2024-02-29T02:50:59.868-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":111948741,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111948741/thumbnails/1.jpg","file_name":"1.pdf","download_url":"https://www.academia.edu/attachments/111948741/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Knowledge_in_Formation.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111948741/1-libre.pdf?1709204062=\u0026response-content-disposition=attachment%3B+filename%3DKnowledge_in_Formation.pdf\u0026Expires=1733338056\u0026Signature=N2WkhRKrf5-To0PYix8TaIXZiedCiD3o02S5gPzg2IM1jQ-Gj5x8nQGIvERHbuLedR6s62iMH9aWmIRP7D0vtimc-0O~~GQSIGkqfDtdolJteU-c3H7GGswsfDPL1ckLEmKiA4b3E8vNqrbl1IKxyz7SzEz78pIb-BzKttdSXsZPz6F3T403F2B4Vn7uK9l8H0e6PRlSKTIqGm~lRpHzkrBNh2jWAZpgklJtaiadeD-yia6LqfFbyf28Y~TZpBGPQ6lhitj2wNlqtWTAzwr3lk03zik96MAkKGDTrOGGVWgQRJCvOcpssWrFkwBhB-0eLB7PyiDZC0U4cZ5BV0z4IQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Knowledge_in_Formation","translated_slug":"","page_count":22,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":111948741,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111948741/thumbnails/1.jpg","file_name":"1.pdf","download_url":"https://www.academia.edu/attachments/111948741/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Knowledge_in_Formation.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111948741/1-libre.pdf?1709204062=\u0026response-content-disposition=attachment%3B+filename%3DKnowledge_in_Formation.pdf\u0026Expires=1733338056\u0026Signature=N2WkhRKrf5-To0PYix8TaIXZiedCiD3o02S5gPzg2IM1jQ-Gj5x8nQGIvERHbuLedR6s62iMH9aWmIRP7D0vtimc-0O~~GQSIGkqfDtdolJteU-c3H7GGswsfDPL1ckLEmKiA4b3E8vNqrbl1IKxyz7SzEz78pIb-BzKttdSXsZPz6F3T403F2B4Vn7uK9l8H0e6PRlSKTIqGm~lRpHzkrBNh2jWAZpgklJtaiadeD-yia6LqfFbyf28Y~TZpBGPQ6lhitj2wNlqtWTAzwr3lk03zik96MAkKGDTrOGGVWgQRJCvOcpssWrFkwBhB-0eLB7PyiDZC0U4cZ5BV0z4IQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":98,"name":"Semiotics","url":"https://www.academia.edu/Documents/in/Semiotics"},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence"},{"id":805,"name":"Ontology","url":"https://www.academia.edu/Documents/in/Ontology"},{"id":1432,"name":"Natural Language Processing","url":"https://www.academia.edu/Documents/in/Natural_Language_Processing"},{"id":14493,"name":"Parsing","url":"https://www.academia.edu/Documents/in/Parsing"},{"id":16186,"name":"Cognitive Technologies","url":"https://www.academia.edu/Documents/in/Cognitive_Technologies"},{"id":69100,"name":"Data Science","url":"https://www.academia.edu/Documents/in/Data_Science"},{"id":1725616,"name":"Automatic Summarization","url":"https://www.academia.edu/Documents/in/Automatic_Summarization"},{"id":3647879,"name":"Springer Ebooks","url":"https://www.academia.edu/Documents/in/Springer_Ebooks"}],"urls":[{"id":39903409,"url":"http://link.springer.com/content/pdf/10.1007/978-3-642-17089-8.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115583483"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115583483/A_data_representation_for_abstract_reasoning"><img alt="Research paper thumbnail of A data representation for abstract reasoning" class="work-thumbnail" src="https://attachments.academia-assets.com/111948738/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115583483/A_data_representation_for_abstract_reasoning">A data representation for abstract reasoning</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6ad63ceeee8b010c376d310fe91c656d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111948738,"asset_id":115583483,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111948738/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115583483"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115583483"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115583483; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115583483]").text(description); $(".js-view-count[data-work-id=115583483]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115583483; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115583483']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115583483, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "6ad63ceeee8b010c376d310fe91c656d" } } $('.js-work-strip[data-work-id=115583483]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115583483,"title":"A data representation for abstract reasoning","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":1997,"errors":{}}},"translated_abstract":null,"internal_url":"https://www.academia.edu/115583483/A_data_representation_for_abstract_reasoning","translated_internal_url":"","created_at":"2024-02-29T02:50:59.748-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":111948738,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111948738/thumbnails/1.jpg","file_name":"download.pdf","download_url":"https://www.academia.edu/attachments/111948738/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_data_representation_for_abstract_reaso.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111948738/download-libre.pdf?1709204060=\u0026response-content-disposition=attachment%3B+filename%3DA_data_representation_for_abstract_reaso.pdf\u0026Expires=1733338056\u0026Signature=Y7yjGKkkH0cRRQoAg6j2ZE8Y3Hiah5c35EEjFEev1MZmmPASnCJzbbtSyjdCliQ4WpASSk6-I-saeiIkw04QPJkGaaegu2KjpGtgppUPnkQXM~wdypE20WEDmPT6AC~yH3ygBFxtmIWgUQx1Zrmpn~QFGerynDrJ7R4M6Hs8N6aVQWarw2radrc~5TpwgW6Y~yGyllbrwgyPUWzl6vBhrRzvi-OIh~oTfQonVroz6J9h89y6GEIssL1dIMgaLUbTAlMnuYSCG83-ScttdpLtentz~iNIKC3XAL5zKaqtUb2nZBU8KYdq3aGTtqhiM93JQkBSSi4QcaM6UhwulZsErQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_data_representation_for_abstract_reasoning","translated_slug":"","page_count":9,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":111948738,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111948738/thumbnails/1.jpg","file_name":"download.pdf","download_url":"https://www.academia.edu/attachments/111948738/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_data_representation_for_abstract_reaso.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111948738/download-libre.pdf?1709204060=\u0026response-content-disposition=attachment%3B+filename%3DA_data_representation_for_abstract_reaso.pdf\u0026Expires=1733338056\u0026Signature=Y7yjGKkkH0cRRQoAg6j2ZE8Y3Hiah5c35EEjFEev1MZmmPASnCJzbbtSyjdCliQ4WpASSk6-I-saeiIkw04QPJkGaaegu2KjpGtgppUPnkQXM~wdypE20WEDmPT6AC~yH3ygBFxtmIWgUQx1Zrmpn~QFGerynDrJ7R4M6Hs8N6aVQWarw2radrc~5TpwgW6Y~yGyllbrwgyPUWzl6vBhrRzvi-OIh~oTfQonVroz6J9h89y6GEIssL1dIMgaLUbTAlMnuYSCG83-ScttdpLtentz~iNIKC3XAL5zKaqtUb2nZBU8KYdq3aGTtqhiM93JQkBSSi4QcaM6UhwulZsErQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":271153,"name":"Data representation","url":"https://www.academia.edu/Documents/in/Data_representation"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115583311"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115583311/A_Peircean_ontology_of_language"><img alt="Research paper thumbnail of A Peircean ontology of language" class="work-thumbnail" src="https://attachments.academia-assets.com/111948590/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115583311/A_Peircean_ontology_of_language">A Peircean ontology of language</a></div><div class="wp-workCard_item"><span>Lecture Notes in Computer Science</span><span>, 2001</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="77e1fdba24c31cc0ec79e519f39c1acd" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111948590,"asset_id":115583311,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111948590/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115583311"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115583311"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115583311; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115583311]").text(description); $(".js-view-count[data-work-id=115583311]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115583311; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115583311']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115583311, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "77e1fdba24c31cc0ec79e519f39c1acd" } } $('.js-work-strip[data-work-id=115583311]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115583311,"title":"A Peircean ontology of language","translated_title":"","metadata":{"ai_title_tag":"A Semiotic Model for Language Processing","grobid_abstract":"U n iv ersity of N ijm egen, T h e N e th e rla n d s j a n o s S c s .k u n .n l A b s t r a c t. F o rm al m o d els of n a tu r a l lan g uag e o ften suffer fro m exces sive com plexity. A reaso n for th is, we th in k , m ay b e d u e to th e u n d erly in g a p p ro a c h itself. In th is p a p e r we in tro d u c e a novel, sem io tic b a se d m odel of la n g u ag e w hich p ro v id es us w ith a sim ple a lg o rith m for lan g u ag e p ro cessing.","publication_date":{"day":null,"month":null,"year":2001,"errors":{}},"publication_name":"Lecture Notes in Computer Science","grobid_abstract_attachment_id":111948590},"translated_abstract":null,"internal_url":"https://www.academia.edu/115583311/A_Peircean_ontology_of_language","translated_internal_url":"","created_at":"2024-02-29T02:48:37.936-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":111948590,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111948590/thumbnails/1.jpg","file_name":"19050.pdf","download_url":"https://www.academia.edu/attachments/111948590/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Peircean_ontology_of_language.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111948590/19050-libre.pdf?1709204101=\u0026response-content-disposition=attachment%3B+filename%3DA_Peircean_ontology_of_language.pdf\u0026Expires=1733338056\u0026Signature=H81IDNZFuMjuL7zNnvRCVkboxDcqE11iweCrxtDkDz5wuYaeD9jL5snfzrTQOEmQq6AcTzcYqh8y-d0DFfLV2ZSj60glt2cpGb207iiZJ5g86cUE~0llh1Qr-K8nRe-JC-zkV314FbmVe8IdzmO3upFImyFvhK7tiwXpnNJBm3ToOADmWzZ35hdthVQjZ19msWO2MjiHNrLNKmNxGhEwJX1QhqF1m9dk-HUb6XBl4xLVfN6mQ5HKlVFps9e-ZAbwKsGO6CobvxPFFADadBJU7nPAX~Lp~wAcEJd~p4JyKQTGtgtFwtbsfwEeqfeN0Ukb6VktWy~9xgmMkKXZtGlewA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_Peircean_ontology_of_language","translated_slug":"","page_count":15,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":111948590,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111948590/thumbnails/1.jpg","file_name":"19050.pdf","download_url":"https://www.academia.edu/attachments/111948590/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Peircean_ontology_of_language.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111948590/19050-libre.pdf?1709204101=\u0026response-content-disposition=attachment%3B+filename%3DA_Peircean_ontology_of_language.pdf\u0026Expires=1733338056\u0026Signature=H81IDNZFuMjuL7zNnvRCVkboxDcqE11iweCrxtDkDz5wuYaeD9jL5snfzrTQOEmQq6AcTzcYqh8y-d0DFfLV2ZSj60glt2cpGb207iiZJ5g86cUE~0llh1Qr-K8nRe-JC-zkV314FbmVe8IdzmO3upFImyFvhK7tiwXpnNJBm3ToOADmWzZ35hdthVQjZ19msWO2MjiHNrLNKmNxGhEwJX1QhqF1m9dk-HUb6XBl4xLVfN6mQ5HKlVFps9e-ZAbwKsGO6CobvxPFFADadBJU7nPAX~Lp~wAcEJd~p4JyKQTGtgtFwtbsfwEeqfeN0Ukb6VktWy~9xgmMkKXZtGlewA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":805,"name":"Ontology","url":"https://www.academia.edu/Documents/in/Ontology"},{"id":97618,"name":"Natural language","url":"https://www.academia.edu/Documents/in/Natural_language"},{"id":3647879,"name":"Springer Ebooks","url":"https://www.academia.edu/Documents/in/Springer_Ebooks"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="111049128"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/111049128/Towards_thought_as_a_logical_picture_of_signs"><img alt="Research paper thumbnail of Towards thought as a logical picture of signs" class="work-thumbnail" src="https://attachments.academia-assets.com/108707746/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/111049128/Towards_thought_as_a_logical_picture_of_signs">Towards thought as a logical picture of signs</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We are concerned with the problem of summarising the content of a coherent text. In this paper we...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We are concerned with the problem of summarising the content of a coherent text. In this paper we argue that complex units of symbols like sentences, for example, are signs and the meaning of a text arises via their interaction. We introduce a model for the generation of summaries and illustrate its potential by a realistic example. Keywords semiotic, CS Peirce, logic, summarisation</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="20d9c0767496948078631f0d3a6cf345" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":108707746,"asset_id":111049128,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/108707746/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="111049128"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="111049128"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 111049128; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=111049128]").text(description); $(".js-view-count[data-work-id=111049128]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 111049128; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='111049128']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 111049128, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "20d9c0767496948078631f0d3a6cf345" } } $('.js-work-strip[data-work-id=111049128]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":111049128,"title":"Towards thought as a logical picture of signs","translated_title":"","metadata":{"abstract":"We are concerned with the problem of summarising the content of a coherent text. In this paper we argue that complex units of symbols like sentences, for example, are signs and the meaning of a text arises via their interaction. We introduce a model for the generation of summaries and illustrate its potential by a realistic example. Keywords semiotic, CS Peirce, logic, summarisation","publisher":"Computing Science Institute Nijmegen, Faculty of Science, University of Nijmegen","publication_date":{"day":null,"month":null,"year":2001,"errors":{}}},"translated_abstract":"We are concerned with the problem of summarising the content of a coherent text. In this paper we argue that complex units of symbols like sentences, for example, are signs and the meaning of a text arises via their interaction. We introduce a model for the generation of summaries and illustrate its potential by a realistic example. Keywords semiotic, CS Peirce, logic, summarisation","internal_url":"https://www.academia.edu/111049128/Towards_thought_as_a_logical_picture_of_signs","translated_internal_url":"","created_at":"2023-12-10T06:54:58.645-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":108707746,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/108707746/thumbnails/1.jpg","file_name":"casys01.pdf","download_url":"https://www.academia.edu/attachments/108707746/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Towards_thought_as_a_logical_picture_of.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/108707746/casys01-libre.pdf?1702261533=\u0026response-content-disposition=attachment%3B+filename%3DTowards_thought_as_a_logical_picture_of.pdf\u0026Expires=1733338056\u0026Signature=GXR23zLsd4k~GVczAh3SwmPWD6oWD2tCqPnloo-FLxuR0moKOxV5deBfPbFwUMM3qRzn3IF7WJb9gBbspfkAanbnH1LyolmVD-oVVRXjfZ6TzX~PwVwQmpDt4UTfKE8JtU6tps4VUnGVBYVMf0Vw9El5Y0k3uSghgoGhUqTdwbVgZEBMfUC7LjxKm7w8MhsuhfqbfFDSnENiCEyIKV-~MfGUr6NrE0ULZ-ePLah8s9pyIqrCXjDE7rz895zONKUHkqf0GGiGT6~MQU~9RBTo7222-UCyLcL5mX6~eTFBx2hPtW8JwVmeRdK-K768ya25mSmqiBq~Blo~062dN9-N1Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Towards_thought_as_a_logical_picture_of_signs","translated_slug":"","page_count":16,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":108707746,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/108707746/thumbnails/1.jpg","file_name":"casys01.pdf","download_url":"https://www.academia.edu/attachments/108707746/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Towards_thought_as_a_logical_picture_of.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/108707746/casys01-libre.pdf?1702261533=\u0026response-content-disposition=attachment%3B+filename%3DTowards_thought_as_a_logical_picture_of.pdf\u0026Expires=1733338056\u0026Signature=GXR23zLsd4k~GVczAh3SwmPWD6oWD2tCqPnloo-FLxuR0moKOxV5deBfPbFwUMM3qRzn3IF7WJb9gBbspfkAanbnH1LyolmVD-oVVRXjfZ6TzX~PwVwQmpDt4UTfKE8JtU6tps4VUnGVBYVMf0Vw9El5Y0k3uSghgoGhUqTdwbVgZEBMfUC7LjxKm7w8MhsuhfqbfFDSnENiCEyIKV-~MfGUr6NrE0ULZ-ePLah8s9pyIqrCXjDE7rz895zONKUHkqf0GGiGT6~MQU~9RBTo7222-UCyLcL5mX6~eTFBx2hPtW8JwVmeRdK-K768ya25mSmqiBq~Blo~062dN9-N1Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[{"id":36808795,"url":"http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.58.5870\u0026rep=rep1\u0026type=pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="106059985"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/106059985/Towards_a_theory_of_meaning_extraction"><img alt="Research paper thumbnail of Towards a theory of meaning extraction" class="work-thumbnail" src="https://attachments.academia-assets.com/105356980/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/106059985/Towards_a_theory_of_meaning_extraction">Towards a theory of meaning extraction</a></div><div class="wp-workCard_item"><span>Proceedings of ICCS</span><span>, 2004</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a1763ca7eb4241c31ab172b2686c0be5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":105356980,"asset_id":106059985,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/105356980/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="106059985"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="106059985"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 106059985; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=106059985]").text(description); $(".js-view-count[data-work-id=106059985]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 106059985; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='106059985']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 106059985, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "a1763ca7eb4241c31ab172b2686c0be5" } } $('.js-work-strip[data-work-id=106059985]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":106059985,"title":"Towards a theory of meaning extraction","translated_title":"","metadata":{"publisher":"cs.ru.nl","grobid_abstract":"Using a Peircean model of sign recognition, we define meaning extraction as text summarization based on propositional signs. Such signs, as parts of sentences, can be conceived as transitions between successive states. Consecutive transitions can be combined to generate a single proposition (or sentence) comprising the summary of a text.","publication_date":{"day":null,"month":null,"year":2004,"errors":{}},"publication_name":"Proceedings of ICCS","grobid_abstract_attachment_id":105356980},"translated_abstract":null,"internal_url":"https://www.academia.edu/106059985/Towards_a_theory_of_meaning_extraction","translated_internal_url":"","created_at":"2023-08-28T23:50:42.435-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":105356980,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105356980/thumbnails/1.jpg","file_name":"meaningext.pdf","download_url":"https://www.academia.edu/attachments/105356980/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Towards_a_theory_of_meaning_extraction.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105356980/meaningext-libre.pdf?1693319155=\u0026response-content-disposition=attachment%3B+filename%3DTowards_a_theory_of_meaning_extraction.pdf\u0026Expires=1733338056\u0026Signature=MmZOdYsRE8rZfPcGnEXFQsIL84knC4MrCvUHLqb4LJfC-Ezm85h~BDOleSMe2ri0Nc-iF1QrKroK-TCBQx-QRKAHyPcgxUa6FKzJu-sTBL5uHIeTz07jjgGBoR75~fZdxpCx2ipcDmKlN82Sa2-s5J~7gpn1E-g0ww9voM1lp94C9wYsFzcLJDMCf5eIBGZDbnjuXAWgS~kSKGNx59oLi5djozLan3-yPwWUfMU~StB4z0rLLArOBIUec8elwtel2fb6aGEK3Zfi~kr0r2xdPHGGNlyMF8wBLAa~zle4RLMSPrVOPyYK0bA0-2xaJi6SWK1ER6ytjSJ8larvjtP5Zg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Towards_a_theory_of_meaning_extraction","translated_slug":"","page_count":14,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":105356980,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105356980/thumbnails/1.jpg","file_name":"meaningext.pdf","download_url":"https://www.academia.edu/attachments/105356980/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Towards_a_theory_of_meaning_extraction.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105356980/meaningext-libre.pdf?1693319155=\u0026response-content-disposition=attachment%3B+filename%3DTowards_a_theory_of_meaning_extraction.pdf\u0026Expires=1733338056\u0026Signature=MmZOdYsRE8rZfPcGnEXFQsIL84knC4MrCvUHLqb4LJfC-Ezm85h~BDOleSMe2ri0Nc-iF1QrKroK-TCBQx-QRKAHyPcgxUa6FKzJu-sTBL5uHIeTz07jjgGBoR75~fZdxpCx2ipcDmKlN82Sa2-s5J~7gpn1E-g0ww9voM1lp94C9wYsFzcLJDMCf5eIBGZDbnjuXAWgS~kSKGNx59oLi5djozLan3-yPwWUfMU~StB4z0rLLArOBIUec8elwtel2fb6aGEK3Zfi~kr0r2xdPHGGNlyMF8wBLAa~zle4RLMSPrVOPyYK0bA0-2xaJi6SWK1ER6ytjSJ8larvjtP5Zg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":184,"name":"Sociology","url":"https://www.academia.edu/Documents/in/Sociology"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="106059888"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/106059888/On_the_isomorphism_of_sign_logic_and_language_a_novel_framework_for_language_modelling"><img alt="Research paper thumbnail of On the isomorphism of sign, logic and language : a novel framework for language modelling" class="work-thumbnail" src="https://attachments.academia-assets.com/105356899/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/106059888/On_the_isomorphism_of_sign_logic_and_language_a_novel_framework_for_language_modelling">On the isomorphism of sign, logic and language : a novel framework for language modelling</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="52f52454ad3833332bd7e6080529c3cc" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":105356899,"asset_id":106059888,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/105356899/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="106059888"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="106059888"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 106059888; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=106059888]").text(description); $(".js-view-count[data-work-id=106059888]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 106059888; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='106059888']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 106059888, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "52f52454ad3833332bd7e6080529c3cc" } } $('.js-work-strip[data-work-id=106059888]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":106059888,"title":"On the isomorphism of sign, logic and language : a novel framework for language modelling","translated_title":"","metadata":{"grobid_abstract":"Formal models of n atu ra l language often suffer from th eir excessive com plexity which, in our opinion, may be due to th e underlying approach itself. In th is paper we introduce a semiotic model of language which is only linearly complex. T he existence of such a model is conform w ith th e experience th a t language is a real-tim e complex phenom enon.","publication_date":{"day":27,"month":9,"year":2001,"errors":{}},"grobid_abstract_attachment_id":105356899},"translated_abstract":null,"internal_url":"https://www.academia.edu/106059888/On_the_isomorphism_of_sign_logic_and_language_a_novel_framework_for_language_modelling","translated_internal_url":"","created_at":"2023-08-28T23:48:04.986-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":105356899,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105356899/thumbnails/1.jpg","file_name":"19085.pdf","download_url":"https://www.academia.edu/attachments/105356899/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"On_the_isomorphism_of_sign_logic_and_lan.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105356899/19085-libre.pdf?1693319416=\u0026response-content-disposition=attachment%3B+filename%3DOn_the_isomorphism_of_sign_logic_and_lan.pdf\u0026Expires=1733338056\u0026Signature=W4Mwca3MaqJ2z6vIq-6Qlm3BOMEkxiBTTGBslLNTT72BqnxCNLAOfY4rC6EqIpepxVXKuNEikoSZTrOJskIaRQ6fiU3YXPkiiki7ubJgZ~FbMCrOAAHiS9d4qZL2AIhqQe9OpJDw90el7kbCBD~3evmbUfGSn7xQeJ5yCSEqA~zxd74Xb0bgyIP6J93e1OaxDbcd7zReF7YC3wevmbgxjlLuJ9~lNlW9i8s~pyUbRTCPne3v4-RC8IAsmAAv8yhRhB~VBzTftlOknxXzSXeZDcQyiBf0Pjs87uqOlru1NJ5FQITomqLPtuZHVEPbyBmsFjUVjEdNA26KeaebWL9iKw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"On_the_isomorphism_of_sign_logic_and_language_a_novel_framework_for_language_modelling","translated_slug":"","page_count":31,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":105356899,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105356899/thumbnails/1.jpg","file_name":"19085.pdf","download_url":"https://www.academia.edu/attachments/105356899/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"On_the_isomorphism_of_sign_logic_and_lan.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105356899/19085-libre.pdf?1693319416=\u0026response-content-disposition=attachment%3B+filename%3DOn_the_isomorphism_of_sign_logic_and_lan.pdf\u0026Expires=1733338056\u0026Signature=W4Mwca3MaqJ2z6vIq-6Qlm3BOMEkxiBTTGBslLNTT72BqnxCNLAOfY4rC6EqIpepxVXKuNEikoSZTrOJskIaRQ6fiU3YXPkiiki7ubJgZ~FbMCrOAAHiS9d4qZL2AIhqQe9OpJDw90el7kbCBD~3evmbUfGSn7xQeJ5yCSEqA~zxd74Xb0bgyIP6J93e1OaxDbcd7zReF7YC3wevmbgxjlLuJ9~lNlW9i8s~pyUbRTCPne3v4-RC8IAsmAAv8yhRhB~VBzTftlOknxXzSXeZDcQyiBf0Pjs87uqOlru1NJ5FQITomqLPtuZHVEPbyBmsFjUVjEdNA26KeaebWL9iKw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":98,"name":"Semiotics","url":"https://www.academia.edu/Documents/in/Semiotics"},{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics"},{"id":924,"name":"Logic","url":"https://www.academia.edu/Documents/in/Logic"},{"id":6671,"name":"Syntax","url":"https://www.academia.edu/Documents/in/Syntax"},{"id":106761,"name":"Semiotic","url":"https://www.academia.edu/Documents/in/Semiotic"},{"id":287095,"name":"Knowledge Representation and Reasoning","url":"https://www.academia.edu/Documents/in/Knowledge_Representation_and_Reasoning"}],"urls":[{"id":33667994,"url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.23.769"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="89369430"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/89369430/Improvement_of_the_Microbiological_Safety_of_Two_Chilled_Semi_Prepared_Meals_by_Gamma_Irradiation"><img alt="Research paper thumbnail of Improvement of the Microbiological Safety of Two Chilled Semi-Prepared Meals by Gamma Irradiation" class="work-thumbnail" src="https://attachments.academia-assets.com/93183386/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/89369430/Improvement_of_the_Microbiological_Safety_of_Two_Chilled_Semi_Prepared_Meals_by_Gamma_Irradiation">Improvement of the Microbiological Safety of Two Chilled Semi-Prepared Meals by Gamma Irradiation</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Summary Experimental batches of a stuffed pasta product, tortellini, and slightly pre-fried bread...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Summary Experimental batches of a stuffed pasta product, tortellini, and slightly pre-fried bread- ed reconstituted turkey steaks with cheese and ham filling, Cordon Bleu, were prepared according to commercial recipes, then inoculated with 104 CFU/g of Staphylococcus aureus (in case of tortellini) and with 106 CFU/g of Listeria monocytogenes (in case of Cordon Bleu) prior to packing in plastic bags under a gas atmosphere of 20 % CO2 and 80 % N2. The in- oculated packages were irradiated at 3 kGy (tortellini) and 2 kGy (Cordon Bleu) with a 60 Co radiation source. The applied radiation doses were sensorially acceptable for these products. The experimental batches of tortellini were stored at 15 °C, while the Cordon Bleu samples were stored at 5 and 9 °C. Unirradiated samples were kept together with the respective irradiated ones. Storage was continued for 4 weeks and microbiological tests were performed before and after the irradiation, and subsequently after every seven days. Besides...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="49a5ad0f7b4869d5d899fef414d99fde" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":93183386,"asset_id":89369430,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/93183386/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="89369430"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="89369430"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 89369430; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=89369430]").text(description); $(".js-view-count[data-work-id=89369430]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 89369430; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='89369430']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 89369430, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "49a5ad0f7b4869d5d899fef414d99fde" } } $('.js-work-strip[data-work-id=89369430]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":89369430,"title":"Improvement of the Microbiological Safety of Two Chilled Semi-Prepared Meals by Gamma Irradiation","translated_title":"","metadata":{"abstract":"Summary Experimental batches of a stuffed pasta product, tortellini, and slightly pre-fried bread- ed reconstituted turkey steaks with cheese and ham filling, Cordon Bleu, were prepared according to commercial recipes, then inoculated with 104 CFU/g of Staphylococcus aureus (in case of tortellini) and with 106 CFU/g of Listeria monocytogenes (in case of Cordon Bleu) prior to packing in plastic bags under a gas atmosphere of 20 % CO2 and 80 % N2. The in- oculated packages were irradiated at 3 kGy (tortellini) and 2 kGy (Cordon Bleu) with a 60 Co radiation source. The applied radiation doses were sensorially acceptable for these products. The experimental batches of tortellini were stored at 15 °C, while the Cordon Bleu samples were stored at 5 and 9 °C. Unirradiated samples were kept together with the respective irradiated ones. Storage was continued for 4 weeks and microbiological tests were performed before and after the irradiation, and subsequently after every seven days. Besides..."},"translated_abstract":"Summary Experimental batches of a stuffed pasta product, tortellini, and slightly pre-fried bread- ed reconstituted turkey steaks with cheese and ham filling, Cordon Bleu, were prepared according to commercial recipes, then inoculated with 104 CFU/g of Staphylococcus aureus (in case of tortellini) and with 106 CFU/g of Listeria monocytogenes (in case of Cordon Bleu) prior to packing in plastic bags under a gas atmosphere of 20 % CO2 and 80 % N2. The in- oculated packages were irradiated at 3 kGy (tortellini) and 2 kGy (Cordon Bleu) with a 60 Co radiation source. The applied radiation doses were sensorially acceptable for these products. The experimental batches of tortellini were stored at 15 °C, while the Cordon Bleu samples were stored at 5 and 9 °C. Unirradiated samples were kept together with the respective irradiated ones. Storage was continued for 4 weeks and microbiological tests were performed before and after the irradiation, and subsequently after every seven days. Besides...","internal_url":"https://www.academia.edu/89369430/Improvement_of_the_Microbiological_Safety_of_Two_Chilled_Semi_Prepared_Meals_by_Gamma_Irradiation","translated_internal_url":"","created_at":"2022-10-27T22:44:30.534-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":93183386,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/93183386/thumbnails/1.jpg","file_name":"162882.pdf","download_url":"https://www.academia.edu/attachments/93183386/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Improvement_of_the_Microbiological_Safet.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/93183386/162882-libre.pdf?1666937176=\u0026response-content-disposition=attachment%3B+filename%3DImprovement_of_the_Microbiological_Safet.pdf\u0026Expires=1733338056\u0026Signature=GNbGsZnNMWTSRBn8vjvxbIIH4LE-NslY-XEndL3YWeVa5i0ri1bAvrHgmEA5YqgzQ7Qpig7HptSZ3pS1Q2IFE32MIij6DgArkoOXOnInp1qUtz-uCzOUoAzTLvRtgUSlGrl~nAO07NaDQaMr1pvPSWPfoSyi37Sv7BtlSmJs2PCBpWa7nE~Hp-4iCPqvsqRUlg9MqjSGdmPVJN7FC3viUrz8Fp1zjb~iDsjvTPTNINfb-ftgw8qbsmk-ZT7rMTC~XKh37dR4o~NeNPcswE~cVFH1jJEza77EBSDwBZW25MxunVyto-Jk5AJcqXRCqYUV~bH~LChUxnPdvO3adlkWPQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Improvement_of_the_Microbiological_Safety_of_Two_Chilled_Semi_Prepared_Meals_by_Gamma_Irradiation","translated_slug":"","page_count":7,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":93183386,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/93183386/thumbnails/1.jpg","file_name":"162882.pdf","download_url":"https://www.academia.edu/attachments/93183386/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Improvement_of_the_Microbiological_Safet.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/93183386/162882-libre.pdf?1666937176=\u0026response-content-disposition=attachment%3B+filename%3DImprovement_of_the_Microbiological_Safet.pdf\u0026Expires=1733338056\u0026Signature=GNbGsZnNMWTSRBn8vjvxbIIH4LE-NslY-XEndL3YWeVa5i0ri1bAvrHgmEA5YqgzQ7Qpig7HptSZ3pS1Q2IFE32MIij6DgArkoOXOnInp1qUtz-uCzOUoAzTLvRtgUSlGrl~nAO07NaDQaMr1pvPSWPfoSyi37Sv7BtlSmJs2PCBpWa7nE~Hp-4iCPqvsqRUlg9MqjSGdmPVJN7FC3viUrz8Fp1zjb~iDsjvTPTNINfb-ftgw8qbsmk-ZT7rMTC~XKh37dR4o~NeNPcswE~cVFH1jJEza77EBSDwBZW25MxunVyto-Jk5AJcqXRCqYUV~bH~LChUxnPdvO3adlkWPQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":66912,"name":"SHELF LIFE","url":"https://www.academia.edu/Documents/in/SHELF_LIFE"},{"id":74144,"name":"Lactic Acid Bacteria","url":"https://www.academia.edu/Documents/in/Lactic_Acid_Bacteria"},{"id":104178,"name":"Listeria monocytogenes","url":"https://www.academia.edu/Documents/in/Listeria_monocytogenes"},{"id":107477,"name":"Food Technology and Biotechnology","url":"https://www.academia.edu/Documents/in/Food_Technology_and_Biotechnology"},{"id":116078,"name":"Staphylococcus aureus","url":"https://www.academia.edu/Documents/in/Staphylococcus_aureus"},{"id":225993,"name":"Lipid Oxidation","url":"https://www.academia.edu/Documents/in/Lipid_Oxidation"},{"id":389506,"name":"Radiation Dose","url":"https://www.academia.edu/Documents/in/Radiation_Dose"},{"id":698785,"name":"Side Effect","url":"https://www.academia.edu/Documents/in/Side_Effect"},{"id":1074508,"name":"Lactic Acid","url":"https://www.academia.edu/Documents/in/Lactic_Acid"},{"id":1221610,"name":"Gamma Irradiation","url":"https://www.academia.edu/Documents/in/Gamma_Irradiation"},{"id":1550290,"name":"Pathogenic Bacteria","url":"https://www.academia.edu/Documents/in/Pathogenic_Bacteria"},{"id":2288920,"name":"Factor of Safety","url":"https://www.academia.edu/Documents/in/Factor_of_Safety"},{"id":2628956,"name":"Storage temperature","url":"https://www.academia.edu/Documents/in/Storage_temperature"}],"urls":[{"id":25227307,"url":"http://www.ftb.com.hr/43-263.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="79627936"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/79627936/A_tanul%C3%B3_modellje"><img alt="Research paper thumbnail of A tanuló modellje" class="work-thumbnail" src="https://attachments.academia-assets.com/86277773/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/79627936/A_tanul%C3%B3_modellje">A tanuló modellje</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b898520c0044bb9ea438dcbf8299e9c9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":86277773,"asset_id":79627936,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/86277773/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="79627936"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="79627936"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79627936; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79627936]").text(description); $(".js-view-count[data-work-id=79627936]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79627936; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79627936']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 79627936, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b898520c0044bb9ea438dcbf8299e9c9" } } $('.js-work-strip[data-work-id=79627936]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79627936,"title":"A tanuló modellje","translated_title":"","metadata":{"publisher":"Szegedi Tudományegyetem, Bölcsészet- és Társadalomtudományi Kar","publication_date":{"day":null,"month":null,"year":1993,"errors":{}}},"translated_abstract":null,"internal_url":"https://www.academia.edu/79627936/A_tanul%C3%B3_modellje","translated_internal_url":"","created_at":"2022-05-22T00:06:31.702-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":86277773,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86277773/thumbnails/1.jpg","file_name":"229438626.pdf","download_url":"https://www.academia.edu/attachments/86277773/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_tanulo_modellje.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86277773/229438626-libre.pdf?1653203635=\u0026response-content-disposition=attachment%3B+filename%3DA_tanulo_modellje.pdf\u0026Expires=1733338056\u0026Signature=FHJSVg1x1OQXOOEfDBpqXo4SdQTEDS4EzHHrWpMaSsYwPS65OWhZD3EP5GAaILSBh8Lwh6J9G7caQoSOeijTOwiZMOlRSDMveDajcG5vXIxz7NtiQUTHK9faBJIShWDIHhp7x1yQ7swWRl6tXJp0jGzxwpeEACfafWvYdUj2f3ejzeIz~Ol08xrYeG--E9v~gJ8wKyrawdy~o8BMeuz686jWnYdslTKbWSNdYej~N4spA-Q43AaBeeGSd0EoTBal04m6pQ8h3rJKdN6CTK2BC6zQqWNRC2bnmt9WSxP1eT0tyVwdUiqF7HtxiahYqv9pNXcy3mUGswiBQZvFzS0iVA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_tanuló_modellje","translated_slug":"","page_count":12,"language":"hu","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":86277773,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86277773/thumbnails/1.jpg","file_name":"229438626.pdf","download_url":"https://www.academia.edu/attachments/86277773/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_tanulo_modellje.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86277773/229438626-libre.pdf?1653203635=\u0026response-content-disposition=attachment%3B+filename%3DA_tanulo_modellje.pdf\u0026Expires=1733338056\u0026Signature=FHJSVg1x1OQXOOEfDBpqXo4SdQTEDS4EzHHrWpMaSsYwPS65OWhZD3EP5GAaILSBh8Lwh6J9G7caQoSOeijTOwiZMOlRSDMveDajcG5vXIxz7NtiQUTHK9faBJIShWDIHhp7x1yQ7swWRl6tXJp0jGzxwpeEACfafWvYdUj2f3ejzeIz~Ol08xrYeG--E9v~gJ8wKyrawdy~o8BMeuz686jWnYdslTKbWSNdYej~N4spA-Q43AaBeeGSd0EoTBal04m6pQ8h3rJKdN6CTK2BC6zQqWNRC2bnmt9WSxP1eT0tyVwdUiqF7HtxiahYqv9pNXcy3mUGswiBQZvFzS0iVA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[{"id":20659414,"url":"https://core.ac.uk/download/229438626.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="79627935"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/79627935/Az_Intelligent_Tutoring_System_tud%C3%A1sb%C3%A1zis"><img alt="Research paper thumbnail of Az Intelligent Tutoring System tudásbázis" class="work-thumbnail" src="https://attachments.academia-assets.com/86277772/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/79627935/Az_Intelligent_Tutoring_System_tud%C3%A1sb%C3%A1zis">Az Intelligent Tutoring System tudásbázis</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3bf802f1a0ab9d76768a6e5db78ab049" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":86277772,"asset_id":79627935,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/86277772/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="79627935"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="79627935"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79627935; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79627935]").text(description); $(".js-view-count[data-work-id=79627935]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79627935; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79627935']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 79627935, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3bf802f1a0ab9d76768a6e5db78ab049" } } $('.js-work-strip[data-work-id=79627935]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79627935,"title":"Az Intelligent Tutoring System tudásbázis","translated_title":"","metadata":{"publisher":"Szegedi Tudományegyetem, Bölcsészet- és Társadalomtudományi Kar","publication_date":{"day":null,"month":null,"year":1993,"errors":{}}},"translated_abstract":null,"internal_url":"https://www.academia.edu/79627935/Az_Intelligent_Tutoring_System_tud%C3%A1sb%C3%A1zis","translated_internal_url":"","created_at":"2022-05-22T00:06:31.550-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":86277772,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86277772/thumbnails/1.jpg","file_name":"229436225.pdf","download_url":"https://www.academia.edu/attachments/86277772/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Az_Intelligent_Tutoring_System_tudasbazi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86277772/229436225-libre.pdf?1653203618=\u0026response-content-disposition=attachment%3B+filename%3DAz_Intelligent_Tutoring_System_tudasbazi.pdf\u0026Expires=1733338056\u0026Signature=NiMdH--DNfVrpWTadeVoi9aPDI6WADSE1--6TQr9EPYL~D-HYpyOSoaoB2AIB0~-cR6WO9y0jTasDT4Uz-qlizELEYZSvLTNRZZLQA1dyxaDfQO5R~tTYVtIwYS75vKFQLSa3tBQIw1RvLKWjfzGJ-cREj2mEXW8hkSsZyGQNqQhPPDvmrgHLAMi0JT1BP0aLlozZUhwPjWIZ18uBDvPrRmSWYBgEJLlYRxD7828GFjHwbSNLtYtO-4Tr200POvPABgblxpWFwkaeEDWt~nvQ1bk6~qdmmtoojr4sUH8JLQOzNPP~kYk4rhuSUjF~P9RDFsn0fZ3aInGzLCjWJThjA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Az_Intelligent_Tutoring_System_tudásbázis","translated_slug":"","page_count":9,"language":"hu","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":86277772,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86277772/thumbnails/1.jpg","file_name":"229436225.pdf","download_url":"https://www.academia.edu/attachments/86277772/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Az_Intelligent_Tutoring_System_tudasbazi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86277772/229436225-libre.pdf?1653203618=\u0026response-content-disposition=attachment%3B+filename%3DAz_Intelligent_Tutoring_System_tudasbazi.pdf\u0026Expires=1733338056\u0026Signature=NiMdH--DNfVrpWTadeVoi9aPDI6WADSE1--6TQr9EPYL~D-HYpyOSoaoB2AIB0~-cR6WO9y0jTasDT4Uz-qlizELEYZSvLTNRZZLQA1dyxaDfQO5R~tTYVtIwYS75vKFQLSa3tBQIw1RvLKWjfzGJ-cREj2mEXW8hkSsZyGQNqQhPPDvmrgHLAMi0JT1BP0aLlozZUhwPjWIZ18uBDvPrRmSWYBgEJLlYRxD7828GFjHwbSNLtYtO-4Tr200POvPABgblxpWFwkaeEDWt~nvQ1bk6~qdmmtoojr4sUH8JLQOzNPP~kYk4rhuSUjF~P9RDFsn0fZ3aInGzLCjWJThjA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":86277771,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86277771/thumbnails/1.jpg","file_name":"229436225.pdf","download_url":"https://www.academia.edu/attachments/86277771/download_file","bulk_download_file_name":"Az_Intelligent_Tutoring_System_tudasbazi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86277771/229436225-libre.pdf?1653203618=\u0026response-content-disposition=attachment%3B+filename%3DAz_Intelligent_Tutoring_System_tudasbazi.pdf\u0026Expires=1733338056\u0026Signature=P2aULPxh4zc-Au00es6~Ej-eywxMEtKVMNZVC70Ccc33O-vzj6bjGvWsJaP0eine60sGFpS0MOtNDgdJMGCj3utjRtsXm5VhwHVsRWvPLm4NWGnph8QoK8omyjOwDMMM8QGoWbrDqt3cCONGI2g7CGigDw527tFvSGweheWHdvyJmEEN~JKdRcfGKqC-rNuDCmhJG9cm0-KtT3e-Y1T~dJf4~134PbSfOlvnCOyVXN2pIGJCWIu5qCUiuD~SsdJuOioHS7xW8-gLIjwlumPRko1x8y3dhMlbBOfvbPaTlhP-wqAf6BLxWaDhuKXkbUiBL88glvILy3d63uiV1WOj0A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[{"id":20659413,"url":"https://core.ac.uk/download/229436225.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="79627934"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/79627934/On_the_Isomorphism_of_Signs_Logic_and_Language_A_novel_framework_for_language_modelling"><img alt="Research paper thumbnail of On the Isomorphism of Signs, Logic and Language -- A novel framework for language modelling" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/79627934/On_the_Isomorphism_of_Signs_Logic_and_Language_A_novel_framework_for_language_modelling">On the Isomorphism of Signs, Logic and Language -- A novel framework for language modelling</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We argue that a connective element between the three domains, signs, logic and language, could be...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We argue that a connective element between the three domains, signs, logic and language, could be knowledge representation. This paper is an attempt to show that knowledge can be based on signs, that how knowledge emerges, that has a logical meaning, and that language is a representation of knowledge.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="79627934"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="79627934"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79627934; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79627934]").text(description); $(".js-view-count[data-work-id=79627934]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79627934; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79627934']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 79627934, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=79627934]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79627934,"title":"On the Isomorphism of Signs, Logic and Language -- A novel framework for language modelling","translated_title":"","metadata":{"abstract":"We argue that a connective element between the three domains, signs, logic and language, could be knowledge representation. This paper is an attempt to show that knowledge can be based on signs, that how knowledge emerges, that has a logical meaning, and that language is a representation of knowledge.","publication_date":{"day":null,"month":null,"year":2002,"errors":{}}},"translated_abstract":"We argue that a connective element between the three domains, signs, logic and language, could be knowledge representation. This paper is an attempt to show that knowledge can be based on signs, that how knowledge emerges, that has a logical meaning, and that language is a representation of knowledge.","internal_url":"https://www.academia.edu/79627934/On_the_Isomorphism_of_Signs_Logic_and_Language_A_novel_framework_for_language_modelling","translated_internal_url":"","created_at":"2022-05-22T00:06:31.399-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"On_the_Isomorphism_of_Signs_Logic_and_Language_A_novel_framework_for_language_modelling","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[],"research_interests":[{"id":924,"name":"Logic","url":"https://www.academia.edu/Documents/in/Logic"},{"id":6671,"name":"Syntax","url":"https://www.academia.edu/Documents/in/Syntax"},{"id":106761,"name":"Semiotic","url":"https://www.academia.edu/Documents/in/Semiotic"}],"urls":[{"id":20659412,"url":"http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.9.2422\u0026rep=rep1\u0026type=pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="79627933"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/79627933/A_novel_framework_for_language_modelling"><img alt="Research paper thumbnail of A novel framework for language modelling" class="work-thumbnail" src="https://attachments.academia-assets.com/86277770/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/79627933/A_novel_framework_for_language_modelling">A novel framework for language modelling</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5b2802a700293e3e764480e42d11ec11" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":86277770,"asset_id":79627933,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/86277770/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="79627933"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="79627933"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79627933; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79627933]").text(description); $(".js-view-count[data-work-id=79627933]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79627933; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79627933']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 79627933, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "5b2802a700293e3e764480e42d11ec11" } } $('.js-work-strip[data-work-id=79627933]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79627933,"title":"A novel framework for language modelling","translated_title":"","metadata":{"grobid_abstract":"A b s tr a c t. Formal models of natural language often suffer from their excessive complexity which, in our opinion, may be due to the underlying approach itself. In this paper we introduce a semiotic model of language which is only linearly complex. The existence of such a model is conform with the experience th a t language is a real-time complex phenomenon.","publication_date":{"day":null,"month":null,"year":2018,"errors":{}},"grobid_abstract_attachment_id":86277770},"translated_abstract":null,"internal_url":"https://www.academia.edu/79627933/A_novel_framework_for_language_modelling","translated_internal_url":"","created_at":"2022-05-22T00:06:31.197-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":86277770,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86277770/thumbnails/1.jpg","file_name":"19084.pdf","download_url":"https://www.academia.edu/attachments/86277770/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_novel_framework_for_language_modelling.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86277770/19084-libre.pdf?1653203647=\u0026response-content-disposition=attachment%3B+filename%3DA_novel_framework_for_language_modelling.pdf\u0026Expires=1733338056\u0026Signature=MiGeIKlbnLLXiDxyyDZeB16WTtnfn0aSPjb8gRnZ1wN0oubSAHMIxJBSC~mqkr6ruqEWRRP-XnVH67ffnnUpf5GEY1AISQHizjFbZyaLjmJdqSxmyHuXKkeMTGgQF5ZDq3O21zNgmSwKYMofxDEvMbdN0-1Mn5kUfv2h5tiqaUZ4R9rZKAwpTCcG7-Hgz04JmFyPNo934JA58qMdYxHAnwwhdmBcACauThKor1GgCAia1S5Vlk~f6SQ2jN0YqiTGYIF5uc0N-Je2Ipcd6rLlFcVMglFjLZy7sUXwhxbuKowNELXdzmUVLtSaKIAR3-koVBbCh5Ml3mwke1qcSWvygw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_novel_framework_for_language_modelling","translated_slug":"","page_count":29,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":86277770,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86277770/thumbnails/1.jpg","file_name":"19084.pdf","download_url":"https://www.academia.edu/attachments/86277770/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_novel_framework_for_language_modelling.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86277770/19084-libre.pdf?1653203647=\u0026response-content-disposition=attachment%3B+filename%3DA_novel_framework_for_language_modelling.pdf\u0026Expires=1733338056\u0026Signature=MiGeIKlbnLLXiDxyyDZeB16WTtnfn0aSPjb8gRnZ1wN0oubSAHMIxJBSC~mqkr6ruqEWRRP-XnVH67ffnnUpf5GEY1AISQHizjFbZyaLjmJdqSxmyHuXKkeMTGgQF5ZDq3O21zNgmSwKYMofxDEvMbdN0-1Mn5kUfv2h5tiqaUZ4R9rZKAwpTCcG7-Hgz04JmFyPNo934JA58qMdYxHAnwwhdmBcACauThKor1GgCAia1S5Vlk~f6SQ2jN0YqiTGYIF5uc0N-Je2Ipcd6rLlFcVMglFjLZy7sUXwhxbuKowNELXdzmUVLtSaKIAR3-koVBbCh5Ml3mwke1qcSWvygw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[{"id":20659411,"url":"https://repository.ubn.ru.nl/bitstream/handle/2066/19084/19084.pdf?sequence=1"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="79627932"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/79627932/On_the_isomorphism_of_signs_logic_and_language_A_novel_framework_for_language_modeling"><img alt="Research paper thumbnail of On the isomorphism of signs , logic and language A novel framework for language modeling" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/79627932/On_the_isomorphism_of_signs_logic_and_language_A_novel_framework_for_language_modeling">On the isomorphism of signs , logic and language A novel framework for language modeling</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We argue that a connective element between the three domains, signs, logic and language, could be...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We argue that a connective element between the three domains, signs, logic and language, could be knowledge representation. This paper is an attempt to show that knowledge can be based on signs, that how knowledge emerges, that has a logical meaning, and that language is a representation of knowledge.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="79627932"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="79627932"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79627932; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79627932]").text(description); $(".js-view-count[data-work-id=79627932]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79627932; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79627932']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 79627932, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=79627932]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79627932,"title":"On the isomorphism of signs , logic and language A novel framework for language modeling","translated_title":"","metadata":{"abstract":"We argue that a connective element between the three domains, signs, logic and language, could be knowledge representation. This paper is an attempt to show that knowledge can be based on signs, that how knowledge emerges, that has a logical meaning, and that language is a representation of knowledge.","publication_date":{"day":null,"month":null,"year":2002,"errors":{}}},"translated_abstract":"We argue that a connective element between the three domains, signs, logic and language, could be knowledge representation. This paper is an attempt to show that knowledge can be based on signs, that how knowledge emerges, that has a logical meaning, and that language is a representation of knowledge.","internal_url":"https://www.academia.edu/79627932/On_the_isomorphism_of_signs_logic_and_language_A_novel_framework_for_language_modeling","translated_internal_url":"","created_at":"2022-05-22T00:06:30.926-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"On_the_isomorphism_of_signs_logic_and_language_A_novel_framework_for_language_modeling","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[],"research_interests":[{"id":924,"name":"Logic","url":"https://www.academia.edu/Documents/in/Logic"},{"id":6671,"name":"Syntax","url":"https://www.academia.edu/Documents/in/Syntax"},{"id":106761,"name":"Semiotic","url":"https://www.academia.edu/Documents/in/Semiotic"}],"urls":[{"id":20659410,"url":"http://www.cs.kun.nl/~janos/krdict.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="79627931"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/79627931/A_semiotically_oriented_cognitive_model_of_knowledge_representation"><img alt="Research paper thumbnail of A semiotically oriented cognitive model of knowledge representation" class="work-thumbnail" src="https://attachments.academia-assets.com/86277819/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/79627931/A_semiotically_oriented_cognitive_model_of_knowledge_representation">A semiotically oriented cognitive model of knowledge representation</a></div><div class="wp-workCard_item"><span>Communio Viatorum</span><span>, 2008</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This thesis introduces a model for knowledge representation as a sign recognition process, on the...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This thesis introduces a model for knowledge representation as a sign recognition process, on the basis of an analysis of the properties of cognitive activity. By offering a logical account of this model, the existence of a `naive&#39; logic underlying human information processing is revealed, which in turn opens the way towards a Peircean semiotic characterization of the cognitive model.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="aff86f324b1d2c94023a2771e680b3ec" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":86277819,"asset_id":79627931,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/86277819/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="79627931"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="79627931"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79627931; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79627931]").text(description); $(".js-view-count[data-work-id=79627931]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79627931; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79627931']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 79627931, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "aff86f324b1d2c94023a2771e680b3ec" } } $('.js-work-strip[data-work-id=79627931]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79627931,"title":"A semiotically oriented cognitive model of knowledge representation","translated_title":"","metadata":{"abstract":"This thesis introduces a model for knowledge representation as a sign recognition process, on the basis of an analysis of the properties of cognitive activity. By offering a logical account of this model, the existence of a `naive\u0026#39; logic underlying human information processing is revealed, which in turn opens the way towards a Peircean semiotic characterization of the cognitive model.","publication_date":{"day":null,"month":null,"year":2008,"errors":{}},"publication_name":"Communio Viatorum"},"translated_abstract":"This thesis introduces a model for knowledge representation as a sign recognition process, on the basis of an analysis of the properties of cognitive activity. By offering a logical account of this model, the existence of a `naive\u0026#39; logic underlying human information processing is revealed, which in turn opens the way towards a Peircean semiotic characterization of the cognitive model.","internal_url":"https://www.academia.edu/79627931/A_semiotically_oriented_cognitive_model_of_knowledge_representation","translated_internal_url":"","created_at":"2022-05-22T00:06:30.743-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":86277819,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86277819/thumbnails/1.jpg","file_name":"40165.pdf","download_url":"https://www.academia.edu/attachments/86277819/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_semiotically_oriented_cognitive_model.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86277819/40165-libre.pdf?1653204150=\u0026response-content-disposition=attachment%3B+filename%3DA_semiotically_oriented_cognitive_model.pdf\u0026Expires=1733338056\u0026Signature=WQGYw8PZPUMXvSL0OBpYqaP6-Qb-DmTe9KdQxxlyQhohEfkNXGAWwtGxo4JtNO-OEp7L1RDIzGN4JpvugR9nG7JkC28o-zRajIXFtuMMWPsw73eYKjYqkzdUSU6AMxMRJ-zhmz-z48JM4PlyvIHuV3uySTdE8uvgUC8omJ4LxnRauXqgiCYdN9DstfLd9t2oe5TvJd~Ylstkh6KUjN0-Qn2UFxZSniW6Wg5T~KcMnlFGhNw22cTg--E~nmhVlgtHRwyz1CgSlzR7BNbx4avITe90ZALNPQjvkInyYS-iNAK8SJvfCiApBDjCnu7hutmqYZBYnZNFmG0zFdZNLlUM2Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_semiotically_oriented_cognitive_model_of_knowledge_representation","translated_slug":"","page_count":210,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":86277819,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86277819/thumbnails/1.jpg","file_name":"40165.pdf","download_url":"https://www.academia.edu/attachments/86277819/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_semiotically_oriented_cognitive_model.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86277819/40165-libre.pdf?1653204150=\u0026response-content-disposition=attachment%3B+filename%3DA_semiotically_oriented_cognitive_model.pdf\u0026Expires=1733338056\u0026Signature=WQGYw8PZPUMXvSL0OBpYqaP6-Qb-DmTe9KdQxxlyQhohEfkNXGAWwtGxo4JtNO-OEp7L1RDIzGN4JpvugR9nG7JkC28o-zRajIXFtuMMWPsw73eYKjYqkzdUSU6AMxMRJ-zhmz-z48JM4PlyvIHuV3uySTdE8uvgUC8omJ4LxnRauXqgiCYdN9DstfLd9t2oe5TvJd~Ylstkh6KUjN0-Qn2UFxZSniW6Wg5T~KcMnlFGhNw22cTg--E~nmhVlgtHRwyz1CgSlzR7BNbx4avITe90ZALNPQjvkInyYS-iNAK8SJvfCiApBDjCnu7hutmqYZBYnZNFmG0zFdZNLlUM2Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":4212,"name":"Cognition","url":"https://www.academia.edu/Documents/in/Cognition"},{"id":22615,"name":"Knowledge Representation","url":"https://www.academia.edu/Documents/in/Knowledge_Representation"},{"id":39828,"name":"Human Information Processing","url":"https://www.academia.edu/Documents/in/Human_Information_Processing"},{"id":82270,"name":"Close relationships","url":"https://www.academia.edu/Documents/in/Close_relationships"},{"id":466816,"name":"Text Summarization","url":"https://www.academia.edu/Documents/in/Text_Summarization"},{"id":504701,"name":"Cognitive Model","url":"https://www.academia.edu/Documents/in/Cognitive_Model"},{"id":959544,"name":"Process Model","url":"https://www.academia.edu/Documents/in/Process_Model"},{"id":1763882,"name":"Representation Politics","url":"https://www.academia.edu/Documents/in/Representation_Politics"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="79627825"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/79627825/Towards_meaningful_information_processing_A_unifying_representation_for_Peirces_sign_types"><img alt="Research paper thumbnail of Towards meaningful information processing: A unifying representation for Peirce's sign types" class="work-thumbnail" src="https://attachments.academia-assets.com/86277784/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/79627825/Towards_meaningful_information_processing_A_unifying_representation_for_Peirces_sign_types">Towards meaningful information processing: A unifying representation for Peirce's sign types</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="285f05d01c2622a49c91761a31ebfb66" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":86277784,"asset_id":79627825,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/86277784/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="79627825"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="79627825"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79627825; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79627825]").text(description); $(".js-view-count[data-work-id=79627825]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79627825; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79627825']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 79627825, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "285f05d01c2622a49c91761a31ebfb66" } } $('.js-work-strip[data-work-id=79627825]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79627825,"title":"Towards meaningful information processing: A unifying representation for Peirce's sign types","translated_title":"","metadata":{"grobid_abstract":"An open problem in AI is the definition of meaningful information processing. That human interpretation and information processing by current computers can be different is well illustrated by Searle's famous Chinese room argument thought experiment. In this paper we suggest that an answer to the above open problem of AI can be given by introducing a model of information processing which is embedded in a Peircean theory of (meaningful) signs. Peirce's sign theory, that he systematically derived from his concept of a category, is seen by many as a theory of the knowable (the types of distinctions that can be signified by signs). We show that our model of information processing has the potential for representing three types of relation that are analogous to Peirce's three classifications of sign, consisting of 10, 28, and 66 elements.","publication_date":{"day":null,"month":null,"year":2013,"errors":{}},"grobid_abstract_attachment_id":86277784},"translated_abstract":null,"internal_url":"https://www.academia.edu/79627825/Towards_meaningful_information_processing_A_unifying_representation_for_Peirces_sign_types","translated_internal_url":"","created_at":"2022-05-22T00:05:24.034-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":86277784,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86277784/thumbnails/1.jpg","file_name":"122978.pdf","download_url":"https://www.academia.edu/attachments/86277784/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Towards_meaningful_information_processin.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86277784/122978-libre.pdf?1653203629=\u0026response-content-disposition=attachment%3B+filename%3DTowards_meaningful_information_processin.pdf\u0026Expires=1733338056\u0026Signature=cbaXKzlpL8SdB0UGUIuUD5YTIj~BJATCbZFA3NgzQc6zjQ8-SqmKawTZuMxY4-rrQcqBiufqhTi~RqNEoQzJugfnwtcipS04zl~6em8vZz1XKXIVo5kcbquVP0-OlRqHKF2UjR~BZgWISY3lu-RIVC3CKCs4ToUutTLS67VS7KEtOYNaXdtQK4lZCFlApYH9NKlRZoMOHfXefEQuCsPcmh9~1iJvwZgUaRoFiNFdl-3w7lCqn2tVC2H942w~e2aKdEv7uHcwtGNu1c~9AZsQ1429j8NAkmuwUZyBGHb67RdPjNvnExgsg1dG2Pq9etIc4VEinZt9dIqPoeOjy3Z65Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Towards_meaningful_information_processing_A_unifying_representation_for_Peirces_sign_types","translated_slug":"","page_count":33,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":86277784,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86277784/thumbnails/1.jpg","file_name":"122978.pdf","download_url":"https://www.academia.edu/attachments/86277784/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Towards_meaningful_information_processin.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86277784/122978-libre.pdf?1653203629=\u0026response-content-disposition=attachment%3B+filename%3DTowards_meaningful_information_processin.pdf\u0026Expires=1733338056\u0026Signature=cbaXKzlpL8SdB0UGUIuUD5YTIj~BJATCbZFA3NgzQc6zjQ8-SqmKawTZuMxY4-rrQcqBiufqhTi~RqNEoQzJugfnwtcipS04zl~6em8vZz1XKXIVo5kcbquVP0-OlRqHKF2UjR~BZgWISY3lu-RIVC3CKCs4ToUutTLS67VS7KEtOYNaXdtQK4lZCFlApYH9NKlRZoMOHfXefEQuCsPcmh9~1iJvwZgUaRoFiNFdl-3w7lCqn2tVC2H942w~e2aKdEv7uHcwtGNu1c~9AZsQ1429j8NAkmuwUZyBGHb67RdPjNvnExgsg1dG2Pq9etIc4VEinZt9dIqPoeOjy3Z65Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":4398,"name":"Peirce","url":"https://www.academia.edu/Documents/in/Peirce"},{"id":36837,"name":"Information Processing","url":"https://www.academia.edu/Documents/in/Information_Processing"},{"id":39828,"name":"Human Information Processing","url":"https://www.academia.edu/Documents/in/Human_Information_Processing"},{"id":48999,"name":"Information","url":"https://www.academia.edu/Documents/in/Information"},{"id":56262,"name":"Searle","url":"https://www.academia.edu/Documents/in/Searle"},{"id":254548,"name":"Sign theory","url":"https://www.academia.edu/Documents/in/Sign_theory"},{"id":959544,"name":"Process Model","url":"https://www.academia.edu/Documents/in/Process_Model"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="40365300"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/40365300/V%C3%A1laszt%C3%A1si_%C3%A1mokfut%C3%A1s"><img alt="Research paper thumbnail of Választási ámokfutás" class="work-thumbnail" src="https://attachments.academia-assets.com/60612299/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/40365300/V%C3%A1laszt%C3%A1si_%C3%A1mokfut%C3%A1s">Választási ámokfutás</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Olybá tűnhet, hogy a túlon is túlról kezdem a mondandóm lényegnek kibontását, mégis úgy vélem, ho...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Olybá tűnhet, hogy a túlon is túlról kezdem a mondandóm lényegnek kibontását, mégis úgy vélem, hogy a teljes megértéshez minden apró részlet szükséges. Mert helyes döntés csak akkor születhet, ha a témával kapcsolatos minden információ a rendelkezésre áll. Ha netán mégis maradna hiányérzet, nos, akkor az aktuális megmondók hablatyára figyelve talán tisztább kép alakul ki. Egy szállóige szerint két fél kapcsolatában az egyik mindig domináns. Következmény: Az egyik fél érvrendszere vagy fizikai ereje uralja a másikat. A gond az, hogy az uralom olvasatából többnyire hiányzik az uralt óhaja. Vajh' a dominancia mennyire illeszthető napjaink harsányan hangoztatott demokráciájába? Mégis mire alapozva kívánják a bizalmi alapokon tartani uradalmukat azok, akik immáron sokadszorra tévesztik meg a joghatásuk alá kényszerített közösségeket? A történészek, a kultúra-antropológusok, a régészek meg a néprajzosok szerint, az emberiség hajnalán-már ha volt egyáltalán ilyen hajnal-valószínűleg anyajogú közösségek alakultak ki. Most azon rágódnak, hogy mi volt az oka a nőuralmi irányítási rendszer felbomlásának és honnan ered a gonoszság "női eredetének" sulykolása, erre nézve kevés Ádám Kadmon első feleségének "démonszülővé" süllyesztése, vagy a második feleség almás trükkjének kiagyalása, de Pandóra szelencéjének meséje sem igazolja a női minőség agyagba döngölését, a férfijogú társadalmi rendszerek megkérdőjelezhetetlen uralmának mákvirágba borulását. Egy kicsit pontosabban fogalmazva; Azt feltételezzük, hogy a matriarchális közösségekben az erő és a szellem vezérlő elve jól megfért egymás mellett, kiegészítve a társ hatékonyságát. Időnként az is előfordulhatott, hogy a két hatáscentrumot egyetlen személy egyesíthette önmagában, ha a jeles egy-én képességeit a közösség elfogadta, elismerte. A szellemi vezető tudta a csillagok járását, jövendőt mondott és gyógyítóként tevékenykedett a csoport életében. Brit kutatónők szerint az erő hatalma a nagyállat tenyésztés elterjedésével-ahol inkább az erőre volt szükség-kerültek a nők egyre inkább háttérbe, amivel a hím sokkal inkább vezető szerephez juthatott. Ez lassan odáig vezetett, hogy a férfi fokozatosan magához vonta a vezetői posztot. Előbb csak meghatározta a közösségi munkamegosztást a hatékonyság hangsúlyozásával, majd a szellemi fölényt különféle vallásos hiedelmek, legendák kieszelésével, és a kitalációk megfelelő felhasználásával formálta az egész közösség valóságról kialakult képét. Saját érdekei mentén magyarázta, mi miért történik, és jó vagy rossz szándékú manipulációk segítségével elérte azt, hogy az alárendeltek kivétel nélkül az ő célkitűzéseit vigyék véghez. Trükkjei eszenciáját utódainak, mikor pedig egyre nőtt a közösség lélekszáma, akkor egy szűkebb, a vérségi rokonságába tartozó csoportosulásnak adta tovább. Most ugorjunk egy kicsinyég… Gondolt már arra, hogy miért adnak ki az embereknek születési anyakönyvi kivonatot? Mert miért lenne bárkinek is szüksége ilyen dokumentumra? Az egyén megjelenése ott és akkor nem elég bizonyíték arra, hogy ő valamikor, valahol valóban megszületett? A születési anyakönyvi kivonatok kiállításának valódi oka szemnyitogató hatással van arra, hogy milyen mértékben korlátos a nép döntési joga. Annak érdekében, hogy megértsük, mi az igazi célja egy születési anyakönyvi kivonat kötelező kiállíttatásának ténylegesen, muszáj beszélni egy kicsit a tengerészeti törvényről (Meritime Admirality</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="22dc166ad718b9b44785e4c2887d169e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":60612299,"asset_id":40365300,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/60612299/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="40365300"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="40365300"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 40365300; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=40365300]").text(description); $(".js-view-count[data-work-id=40365300]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 40365300; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='40365300']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 40365300, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "22dc166ad718b9b44785e4c2887d169e" } } $('.js-work-strip[data-work-id=40365300]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":40365300,"title":"Választási ámokfutás","translated_title":"","metadata":{"abstract":"Olybá tűnhet, hogy a túlon is túlról kezdem a mondandóm lényegnek kibontását, mégis úgy vélem, hogy a teljes megértéshez minden apró részlet szükséges. Mert helyes döntés csak akkor születhet, ha a témával kapcsolatos minden információ a rendelkezésre áll. Ha netán mégis maradna hiányérzet, nos, akkor az aktuális megmondók hablatyára figyelve talán tisztább kép alakul ki. Egy szállóige szerint két fél kapcsolatában az egyik mindig domináns. Következmény: Az egyik fél érvrendszere vagy fizikai ereje uralja a másikat. A gond az, hogy az uralom olvasatából többnyire hiányzik az uralt óhaja. Vajh' a dominancia mennyire illeszthető napjaink harsányan hangoztatott demokráciájába? Mégis mire alapozva kívánják a bizalmi alapokon tartani uradalmukat azok, akik immáron sokadszorra tévesztik meg a joghatásuk alá kényszerített közösségeket? A történészek, a kultúra-antropológusok, a régészek meg a néprajzosok szerint, az emberiség hajnalán-már ha volt egyáltalán ilyen hajnal-valószínűleg anyajogú közösségek alakultak ki. Most azon rágódnak, hogy mi volt az oka a nőuralmi irányítási rendszer felbomlásának és honnan ered a gonoszság \"női eredetének\" sulykolása, erre nézve kevés Ádám Kadmon első feleségének \"démonszülővé\" süllyesztése, vagy a második feleség almás trükkjének kiagyalása, de Pandóra szelencéjének meséje sem igazolja a női minőség agyagba döngölését, a férfijogú társadalmi rendszerek megkérdőjelezhetetlen uralmának mákvirágba borulását. Egy kicsit pontosabban fogalmazva; Azt feltételezzük, hogy a matriarchális közösségekben az erő és a szellem vezérlő elve jól megfért egymás mellett, kiegészítve a társ hatékonyságát. Időnként az is előfordulhatott, hogy a két hatáscentrumot egyetlen személy egyesíthette önmagában, ha a jeles egy-én képességeit a közösség elfogadta, elismerte. A szellemi vezető tudta a csillagok járását, jövendőt mondott és gyógyítóként tevékenykedett a csoport életében. Brit kutatónők szerint az erő hatalma a nagyállat tenyésztés elterjedésével-ahol inkább az erőre volt szükség-kerültek a nők egyre inkább háttérbe, amivel a hím sokkal inkább vezető szerephez juthatott. Ez lassan odáig vezetett, hogy a férfi fokozatosan magához vonta a vezetői posztot. Előbb csak meghatározta a közösségi munkamegosztást a hatékonyság hangsúlyozásával, majd a szellemi fölényt különféle vallásos hiedelmek, legendák kieszelésével, és a kitalációk megfelelő felhasználásával formálta az egész közösség valóságról kialakult képét. Saját érdekei mentén magyarázta, mi miért történik, és jó vagy rossz szándékú manipulációk segítségével elérte azt, hogy az alárendeltek kivétel nélkül az ő célkitűzéseit vigyék véghez. Trükkjei eszenciáját utódainak, mikor pedig egyre nőtt a közösség lélekszáma, akkor egy szűkebb, a vérségi rokonságába tartozó csoportosulásnak adta tovább. Most ugorjunk egy kicsinyég… Gondolt már arra, hogy miért adnak ki az embereknek születési anyakönyvi kivonatot? Mert miért lenne bárkinek is szüksége ilyen dokumentumra? Az egyén megjelenése ott és akkor nem elég bizonyíték arra, hogy ő valamikor, valahol valóban megszületett? A születési anyakönyvi kivonatok kiállításának valódi oka szemnyitogató hatással van arra, hogy milyen mértékben korlátos a nép döntési joga. Annak érdekében, hogy megértsük, mi az igazi célja egy születési anyakönyvi kivonat kötelező kiállíttatásának ténylegesen, muszáj beszélni egy kicsit a tengerészeti törvényről (Meritime Admirality"},"translated_abstract":"Olybá tűnhet, hogy a túlon is túlról kezdem a mondandóm lényegnek kibontását, mégis úgy vélem, hogy a teljes megértéshez minden apró részlet szükséges. Mert helyes döntés csak akkor születhet, ha a témával kapcsolatos minden információ a rendelkezésre áll. Ha netán mégis maradna hiányérzet, nos, akkor az aktuális megmondók hablatyára figyelve talán tisztább kép alakul ki. Egy szállóige szerint két fél kapcsolatában az egyik mindig domináns. Következmény: Az egyik fél érvrendszere vagy fizikai ereje uralja a másikat. A gond az, hogy az uralom olvasatából többnyire hiányzik az uralt óhaja. Vajh' a dominancia mennyire illeszthető napjaink harsányan hangoztatott demokráciájába? Mégis mire alapozva kívánják a bizalmi alapokon tartani uradalmukat azok, akik immáron sokadszorra tévesztik meg a joghatásuk alá kényszerített közösségeket? A történészek, a kultúra-antropológusok, a régészek meg a néprajzosok szerint, az emberiség hajnalán-már ha volt egyáltalán ilyen hajnal-valószínűleg anyajogú közösségek alakultak ki. Most azon rágódnak, hogy mi volt az oka a nőuralmi irányítási rendszer felbomlásának és honnan ered a gonoszság \"női eredetének\" sulykolása, erre nézve kevés Ádám Kadmon első feleségének \"démonszülővé\" süllyesztése, vagy a második feleség almás trükkjének kiagyalása, de Pandóra szelencéjének meséje sem igazolja a női minőség agyagba döngölését, a férfijogú társadalmi rendszerek megkérdőjelezhetetlen uralmának mákvirágba borulását. Egy kicsit pontosabban fogalmazva; Azt feltételezzük, hogy a matriarchális közösségekben az erő és a szellem vezérlő elve jól megfért egymás mellett, kiegészítve a társ hatékonyságát. Időnként az is előfordulhatott, hogy a két hatáscentrumot egyetlen személy egyesíthette önmagában, ha a jeles egy-én képességeit a közösség elfogadta, elismerte. A szellemi vezető tudta a csillagok járását, jövendőt mondott és gyógyítóként tevékenykedett a csoport életében. Brit kutatónők szerint az erő hatalma a nagyállat tenyésztés elterjedésével-ahol inkább az erőre volt szükség-kerültek a nők egyre inkább háttérbe, amivel a hím sokkal inkább vezető szerephez juthatott. Ez lassan odáig vezetett, hogy a férfi fokozatosan magához vonta a vezetői posztot. Előbb csak meghatározta a közösségi munkamegosztást a hatékonyság hangsúlyozásával, majd a szellemi fölényt különféle vallásos hiedelmek, legendák kieszelésével, és a kitalációk megfelelő felhasználásával formálta az egész közösség valóságról kialakult képét. Saját érdekei mentén magyarázta, mi miért történik, és jó vagy rossz szándékú manipulációk segítségével elérte azt, hogy az alárendeltek kivétel nélkül az ő célkitűzéseit vigyék véghez. Trükkjei eszenciáját utódainak, mikor pedig egyre nőtt a közösség lélekszáma, akkor egy szűkebb, a vérségi rokonságába tartozó csoportosulásnak adta tovább. Most ugorjunk egy kicsinyég… Gondolt már arra, hogy miért adnak ki az embereknek születési anyakönyvi kivonatot? Mert miért lenne bárkinek is szüksége ilyen dokumentumra? Az egyén megjelenése ott és akkor nem elég bizonyíték arra, hogy ő valamikor, valahol valóban megszületett? A születési anyakönyvi kivonatok kiállításának valódi oka szemnyitogató hatással van arra, hogy milyen mértékben korlátos a nép döntési joga. Annak érdekében, hogy megértsük, mi az igazi célja egy születési anyakönyvi kivonat kötelező kiállíttatásának ténylegesen, muszáj beszélni egy kicsit a tengerészeti törvényről (Meritime Admirality","internal_url":"https://www.academia.edu/40365300/V%C3%A1laszt%C3%A1si_%C3%A1mokfut%C3%A1s","translated_internal_url":"","created_at":"2019-09-16T05:54:28.283-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":60612299,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/60612299/thumbnails/1.jpg","file_name":"Valasztasi_amokfutas20190916-25459-1bbiddn.pdf","download_url":"https://www.academia.edu/attachments/60612299/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Valasztasi_amokfutas.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/60612299/Valasztasi_amokfutas20190916-25459-1bbiddn-libre.pdf?1568639089=\u0026response-content-disposition=attachment%3B+filename%3DValasztasi_amokfutas.pdf\u0026Expires=1733338056\u0026Signature=IPTdFASESxl3ij9t6b48OMX1vSyfb2RfoOSz~szbeJALsFEUkJh~gEOacUynN0lwaQrazcrpbySbKUyUSGS-TSkbPlxDTgPvGyLwJ3fJWHWy3AnMhb4CZJK-YThn1xzROu0TluNP4WJfkWpe-uXcETPvKZnJac~zJFXfz0z-PRNju1Xk27s2LLDqItqGsoMnvGT3Dbz~dCVGYMdLPVTlaxpxNCZevxDSPWIB-zVYxVi68L9hLeHqIeS8twFPxQnjzFfkUpi6o-9YKxzUoVj7jVGDjqysnFWfgmHJ5oP5v-mIo2rNApiV7dUxj2kJE8AkjvosS3zmeOprhNG~B9xQ9A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Választási_ámokfutás","translated_slug":"","page_count":6,"language":"hu","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":60612299,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/60612299/thumbnails/1.jpg","file_name":"Valasztasi_amokfutas20190916-25459-1bbiddn.pdf","download_url":"https://www.academia.edu/attachments/60612299/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Valasztasi_amokfutas.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/60612299/Valasztasi_amokfutas20190916-25459-1bbiddn-libre.pdf?1568639089=\u0026response-content-disposition=attachment%3B+filename%3DValasztasi_amokfutas.pdf\u0026Expires=1733338056\u0026Signature=IPTdFASESxl3ij9t6b48OMX1vSyfb2RfoOSz~szbeJALsFEUkJh~gEOacUynN0lwaQrazcrpbySbKUyUSGS-TSkbPlxDTgPvGyLwJ3fJWHWy3AnMhb4CZJK-YThn1xzROu0TluNP4WJfkWpe-uXcETPvKZnJac~zJFXfz0z-PRNju1Xk27s2LLDqItqGsoMnvGT3Dbz~dCVGYMdLPVTlaxpxNCZevxDSPWIB-zVYxVi68L9hLeHqIeS8twFPxQnjzFfkUpi6o-9YKxzUoVj7jVGDjqysnFWfgmHJ5oP5v-mIo2rNApiV7dUxj2kJE8AkjvosS3zmeOprhNG~B9xQ9A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="7126450" id="thesischapters"><div class="js-work-strip profile--work_container" data-work-id="33495005"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/33495005/A_Semiotically_Oriented_Cognitive_Model_of_Knowledge_Representation"><img alt="Research paper thumbnail of A Semiotically Oriented Cognitive Model of Knowledge Representation" class="work-thumbnail" src="https://attachments.academia-assets.com/53535050/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/33495005/A_Semiotically_Oriented_Cognitive_Model_of_Knowledge_Representation">A Semiotically Oriented Cognitive Model of Knowledge Representation</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Good day....</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="12f69f4b538ce71c0b311bc37734f66c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":53535050,"asset_id":33495005,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/53535050/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="33495005"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="33495005"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 33495005; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=33495005]").text(description); $(".js-view-count[data-work-id=33495005]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 33495005; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='33495005']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 33495005, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "12f69f4b538ce71c0b311bc37734f66c" } } $('.js-work-strip[data-work-id=33495005]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":33495005,"title":"A Semiotically Oriented Cognitive Model of Knowledge Representation","translated_title":"","metadata":{"abstract":"Good day...."},"translated_abstract":"Good day....","internal_url":"https://www.academia.edu/33495005/A_Semiotically_Oriented_Cognitive_Model_of_Knowledge_Representation","translated_internal_url":"","created_at":"2017-06-15T22:52:19.540-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"thesis_chapter","co_author_tags":[{"id":29366922,"work_id":33495005,"tagging_user_id":65583089,"tagged_user_id":null,"co_author_invite_id":3504934,"email":"j***f@maths.stir.ac.uk","display_order":1,"name":"József Farkas","title":"A Semiotically Oriented Cognitive Model of Knowledge Representation"}],"downloadable_attachments":[{"id":53535050,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/53535050/thumbnails/1.jpg","file_name":"PhD_thesis.pdf","download_url":"https://www.academia.edu/attachments/53535050/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Semiotically_Oriented_Cognitive_Model.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/53535050/PhD_thesis-libre.pdf?1497592428=\u0026response-content-disposition=attachment%3B+filename%3DA_Semiotically_Oriented_Cognitive_Model.pdf\u0026Expires=1733338056\u0026Signature=JNWCGxvajZa8bnB83BvVfBiyXTxniUP6StAhaJwQlfyalfqKCpkp4Kqxz0GzUDPjvUp-NeLEWg9f60AC36WuskBSD5e25-qDoHKVGy6G8Yt88vwm-YDnqNSm-pKJKnprqyY16kx8HbRL8LfMf301ANcRAVUeGLU94G2q9CPn5STCBj0vkx6EzgIJbo~dFYR6jkXanJEeaEeibnh6YQXgzUn0oXprliN7RWkJ836Vrm-xFBRu7LJ1EfySNTyTC099X1nruqitRXvG11xy2Dl~tvG9ddl9tXNEG3TE~zuCtHiTPtNZrwO4VxfrgZToAaDsBbUbkRZeSaZ5te5skJTS7A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_Semiotically_Oriented_Cognitive_Model_of_Knowledge_Representation","translated_slug":"","page_count":209,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":53535050,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/53535050/thumbnails/1.jpg","file_name":"PhD_thesis.pdf","download_url":"https://www.academia.edu/attachments/53535050/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Semiotically_Oriented_Cognitive_Model.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/53535050/PhD_thesis-libre.pdf?1497592428=\u0026response-content-disposition=attachment%3B+filename%3DA_Semiotically_Oriented_Cognitive_Model.pdf\u0026Expires=1733338056\u0026Signature=JNWCGxvajZa8bnB83BvVfBiyXTxniUP6StAhaJwQlfyalfqKCpkp4Kqxz0GzUDPjvUp-NeLEWg9f60AC36WuskBSD5e25-qDoHKVGy6G8Yt88vwm-YDnqNSm-pKJKnprqyY16kx8HbRL8LfMf301ANcRAVUeGLU94G2q9CPn5STCBj0vkx6EzgIJbo~dFYR6jkXanJEeaEeibnh6YQXgzUn0oXprliN7RWkJ836Vrm-xFBRu7LJ1EfySNTyTC099X1nruqitRXvG11xy2Dl~tvG9ddl9tXNEG3TE~zuCtHiTPtNZrwO4VxfrgZToAaDsBbUbkRZeSaZ5te5skJTS7A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="9698464" id="papers"><div class="js-work-strip profile--work_container" data-work-id="124093548"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/124093548/Selektive_Spaltung_von_Glykosiden_V_Spaltung_von_Hepta_O_acetylamygdalin_mit_Dichlormethyl_methyl_%C3%A4ther"><img alt="Research paper thumbnail of Selektive Spaltung von Glykosiden, V. Spaltung von Hepta‐O‐acetylamygdalin mit Dichlormethyl‐(methyl)äther" class="work-thumbnail" src="https://attachments.academia-assets.com/118381247/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/124093548/Selektive_Spaltung_von_Glykosiden_V_Spaltung_von_Hepta_O_acetylamygdalin_mit_Dichlormethyl_methyl_%C3%A4ther">Selektive Spaltung von Glykosiden, V. Spaltung von Hepta‐O‐acetylamygdalin mit Dichlormethyl‐(methyl)äther</a></div><div class="wp-workCard_item"><span>Justus Liebigs Annalen der Chemie</span><span>, 1976</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Aus Hepta‐U‐acetylamygdalin (1) entsteht durch Einwirkung von Dichlormethyl(methyl)‐äther/ZnCl2 s...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Aus Hepta‐U‐acetylamygdalin (1) entsteht durch Einwirkung von Dichlormethyl(methyl)‐äther/ZnCl2 selektiv und in guter Ausbeute Hepta‐U‐acetyl‐α‐gentiobiosylchlorid (2) sowie α‐Chlor‐α‐formylbenzylcyanid (3), das mit heißer, konzentrierter Salzsäure zu DL‐Mandelsäure (5) hydrolysiert wird. Aus den Ergebnissen von Modellversuchen ergibt sich, daß 3 wahrscheinlich auf dem Wege über das Carbeniumion 3a gebildet wird. ‐ Methyl‐hepta‐U‐acetyl‐β‐gentiobiosid, das eine bisher unbekannte Modifikation mit Schmp. 136‐ 137°C besitzt, läßt sich mit Dichlormethyl(methyl)äther/ZnC12 ebenfalls selektiv zu 2 umsetzen.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="16dacb555349a9dcd4fcf2eac2e1229b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":118381247,"asset_id":124093548,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/118381247/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124093548"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124093548"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124093548; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124093548]").text(description); $(".js-view-count[data-work-id=124093548]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124093548; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124093548']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 124093548, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "16dacb555349a9dcd4fcf2eac2e1229b" } } $('.js-work-strip[data-work-id=124093548]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124093548,"title":"Selektive Spaltung von Glykosiden, V. Spaltung von Hepta‐O‐acetylamygdalin mit Dichlormethyl‐(methyl)äther","translated_title":"","metadata":{"abstract":"Aus Hepta‐U‐acetylamygdalin (1) entsteht durch Einwirkung von Dichlormethyl(methyl)‐äther/ZnCl2 selektiv und in guter Ausbeute Hepta‐U‐acetyl‐α‐gentiobiosylchlorid (2) sowie α‐Chlor‐α‐formylbenzylcyanid (3), das mit heißer, konzentrierter Salzsäure zu DL‐Mandelsäure (5) hydrolysiert wird. Aus den Ergebnissen von Modellversuchen ergibt sich, daß 3 wahrscheinlich auf dem Wege über das Carbeniumion 3a gebildet wird. ‐ Methyl‐hepta‐U‐acetyl‐β‐gentiobiosid, das eine bisher unbekannte Modifikation mit Schmp. 136‐ 137°C besitzt, läßt sich mit Dichlormethyl(methyl)äther/ZnC12 ebenfalls selektiv zu 2 umsetzen.","publisher":"Wiley","publication_date":{"day":null,"month":null,"year":1976,"errors":{}},"publication_name":"Justus Liebigs Annalen der Chemie"},"translated_abstract":"Aus Hepta‐U‐acetylamygdalin (1) entsteht durch Einwirkung von Dichlormethyl(methyl)‐äther/ZnCl2 selektiv und in guter Ausbeute Hepta‐U‐acetyl‐α‐gentiobiosylchlorid (2) sowie α‐Chlor‐α‐formylbenzylcyanid (3), das mit heißer, konzentrierter Salzsäure zu DL‐Mandelsäure (5) hydrolysiert wird. Aus den Ergebnissen von Modellversuchen ergibt sich, daß 3 wahrscheinlich auf dem Wege über das Carbeniumion 3a gebildet wird. ‐ Methyl‐hepta‐U‐acetyl‐β‐gentiobiosid, das eine bisher unbekannte Modifikation mit Schmp. 136‐ 137°C besitzt, läßt sich mit Dichlormethyl(methyl)äther/ZnC12 ebenfalls selektiv zu 2 umsetzen.","internal_url":"https://www.academia.edu/124093548/Selektive_Spaltung_von_Glykosiden_V_Spaltung_von_Hepta_O_acetylamygdalin_mit_Dichlormethyl_methyl_%C3%A4ther","translated_internal_url":"","created_at":"2024-09-22T23:37:26.980-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":118381247,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/118381247/thumbnails/1.jpg","file_name":"jlac.19761976030920240923-1-gjdz2z.pdf","download_url":"https://www.academia.edu/attachments/118381247/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Selektive_Spaltung_von_Glykosiden_V_Spal.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/118381247/jlac.19761976030920240923-1-gjdz2z-libre.pdf?1727075607=\u0026response-content-disposition=attachment%3B+filename%3DSelektive_Spaltung_von_Glykosiden_V_Spal.pdf\u0026Expires=1733338056\u0026Signature=e0b-aLWuiXu5Wo3sfVd9GuSYXp-ASsrx0V7VxPKovrhcwP5sbDdpfgD38Sqx4ynzkqRvKoNlS~V0s2zAm57JG0n0zP1~DFqgmcOJ-ruMmjkNfBSR2Q1ig8FpPzFg2u4~bUmNe1qgmQOywLgRIxPcucyJmHfjP2FbDhkqKF5xSlrU~aG7Urx36dLXVGmKbcaZ4iMynorwVQv-A2~8SboY8kweENfbAOanlsOxPiBTTyOHr~3hg-nSZ8iy1Er0hDaJeGl2oS1ruX3mBJpepGZwCldU9N89ipxHG-uqpSr~CDWxvYlrVQmB8lp-VSgRumRHo3ew73cU7duv6~s5e9EmzQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Selektive_Spaltung_von_Glykosiden_V_Spaltung_von_Hepta_O_acetylamygdalin_mit_Dichlormethyl_methyl_äther","translated_slug":"","page_count":10,"language":"de","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":118381247,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/118381247/thumbnails/1.jpg","file_name":"jlac.19761976030920240923-1-gjdz2z.pdf","download_url":"https://www.academia.edu/attachments/118381247/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Selektive_Spaltung_von_Glykosiden_V_Spal.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/118381247/jlac.19761976030920240923-1-gjdz2z-libre.pdf?1727075607=\u0026response-content-disposition=attachment%3B+filename%3DSelektive_Spaltung_von_Glykosiden_V_Spal.pdf\u0026Expires=1733338056\u0026Signature=e0b-aLWuiXu5Wo3sfVd9GuSYXp-ASsrx0V7VxPKovrhcwP5sbDdpfgD38Sqx4ynzkqRvKoNlS~V0s2zAm57JG0n0zP1~DFqgmcOJ-ruMmjkNfBSR2Q1ig8FpPzFg2u4~bUmNe1qgmQOywLgRIxPcucyJmHfjP2FbDhkqKF5xSlrU~aG7Urx36dLXVGmKbcaZ4iMynorwVQv-A2~8SboY8kweENfbAOanlsOxPiBTTyOHr~3hg-nSZ8iy1Er0hDaJeGl2oS1ruX3mBJpepGZwCldU9N89ipxHG-uqpSr~CDWxvYlrVQmB8lp-VSgRumRHo3ew73cU7duv6~s5e9EmzQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":531,"name":"Organic Chemistry","url":"https://www.academia.edu/Documents/in/Organic_Chemistry"}],"urls":[{"id":44787525,"url":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjlac.197619760309"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115583488"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115583488/Knowledge_Representation_as_a_Tool_for_Intelligence_Augmentation"><img alt="Research paper thumbnail of Knowledge Representation as a Tool for Intelligence Augmentation" class="work-thumbnail" src="https://attachments.academia-assets.com/111948755/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115583488/Knowledge_Representation_as_a_Tool_for_Intelligence_Augmentation">Knowledge Representation as a Tool for Intelligence Augmentation</a></div><div class="wp-workCard_item"><span>Current State and Future Perspectives</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The goal of Intelligence Augmentation (IA) is the development of tools that improve the efficienc...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The goal of Intelligence Augmentation (IA) is the development of tools that improve the efficiency of human intelligence. To this end, the authors of this chapter introduce a model of human conceptualization on the basis of a cognitive theory of information processing and a Peircean theory of signs. An account of two experiments is provided. The first concerns conceptualization by individuals, and the second describes how problem elicitation was approached by a team of participants. A preliminary analysis of the results shows that the proposed model is congruent with multi channel and multi purpose human information processing. This implies that the cognitive model can be used as a model for knowledge representation in various fields of human-computer interfacing such as computer aided problem solving and problem elicitation.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="2a601f8f9a0cedfdab694f98e8f8ae22" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111948755,"asset_id":115583488,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111948755/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115583488"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115583488"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115583488; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115583488]").text(description); $(".js-view-count[data-work-id=115583488]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115583488; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115583488']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115583488, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "2a601f8f9a0cedfdab694f98e8f8ae22" } } $('.js-work-strip[data-work-id=115583488]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115583488,"title":"Knowledge Representation as a Tool for Intelligence Augmentation","translated_title":"","metadata":{"abstract":"The goal of Intelligence Augmentation (IA) is the development of tools that improve the efficiency of human intelligence. To this end, the authors of this chapter introduce a model of human conceptualization on the basis of a cognitive theory of information processing and a Peircean theory of signs. An account of two experiments is provided. The first concerns conceptualization by individuals, and the second describes how problem elicitation was approached by a team of participants. A preliminary analysis of the results shows that the proposed model is congruent with multi channel and multi purpose human information processing. This implies that the cognitive model can be used as a model for knowledge representation in various fields of human-computer interfacing such as computer aided problem solving and problem elicitation.","publisher":"IGI Global","publication_name":"Current State and Future Perspectives"},"translated_abstract":"The goal of Intelligence Augmentation (IA) is the development of tools that improve the efficiency of human intelligence. To this end, the authors of this chapter introduce a model of human conceptualization on the basis of a cognitive theory of information processing and a Peircean theory of signs. An account of two experiments is provided. The first concerns conceptualization by individuals, and the second describes how problem elicitation was approached by a team of participants. A preliminary analysis of the results shows that the proposed model is congruent with multi channel and multi purpose human information processing. This implies that the cognitive model can be used as a model for knowledge representation in various fields of human-computer interfacing such as computer aided problem solving and problem elicitation.","internal_url":"https://www.academia.edu/115583488/Knowledge_Representation_as_a_Tool_for_Intelligence_Augmentation","translated_internal_url":"","created_at":"2024-02-29T02:51:01.451-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":42443509,"work_id":115583488,"tagging_user_id":65583089,"tagged_user_id":null,"co_author_invite_id":8085229,"email":"j***s@memphis.edu","display_order":0,"name":"Jozsef Farkas","title":"Knowledge Representation as a Tool for Intelligence Augmentation"},{"id":42443510,"work_id":115583488,"tagging_user_id":65583089,"tagged_user_id":81962714,"co_author_invite_id":null,"email":"j***s@cs.ru.nl","display_order":1073741824,"name":"Janos Sarbo","title":"Knowledge Representation as a Tool for Intelligence Augmentation"},{"id":42443511,"work_id":115583488,"tagging_user_id":65583089,"tagged_user_id":154615857,"co_author_invite_id":null,"email":"a***n@gmail.com","display_order":1610612736,"name":"Auke Breemen","title":"Knowledge Representation as a Tool for Intelligence Augmentation"}],"downloadable_attachments":[{"id":111948755,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111948755/thumbnails/1.jpg","file_name":"91980.pdf","download_url":"https://www.academia.edu/attachments/111948755/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Knowledge_Representation_as_a_Tool_for_I.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111948755/91980-libre.pdf?1709204057=\u0026response-content-disposition=attachment%3B+filename%3DKnowledge_Representation_as_a_Tool_for_I.pdf\u0026Expires=1733338056\u0026Signature=dMcwZcsB4SqKzVPuNFipAwnStQu4mYTo-VKRFpYAdU~Est1aBic~RlKkYA6NgDw34~S6cqTb-69sSEgZOoZIYsP8tCOdScEjk7S-U3WP-BZ~kuCIqofIFcQX5biF8iEU-2I1MM5lFO5g-YtH1UdcT0wVE3d2eBRA7dQjk52c4dP-OJFb84Jl8TcB7JNG850dSpxKQFjVuwji3Cl2UJzfY1sffA6zgF01pJ3MKfj5q72die7lsTfGkDDrrFC2B3-ur9T-098auIWLbHtTTVaUTVBbbWG865e05csWQYs3JZd21RK-48QHQolCfYt7BzWoqm9v6BnNMAkdGUnrkggcRg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Knowledge_Representation_as_a_Tool_for_Intelligence_Augmentation","translated_slug":"","page_count":4,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":111948755,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111948755/thumbnails/1.jpg","file_name":"91980.pdf","download_url":"https://www.academia.edu/attachments/111948755/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Knowledge_Representation_as_a_Tool_for_I.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111948755/91980-libre.pdf?1709204057=\u0026response-content-disposition=attachment%3B+filename%3DKnowledge_Representation_as_a_Tool_for_I.pdf\u0026Expires=1733338056\u0026Signature=dMcwZcsB4SqKzVPuNFipAwnStQu4mYTo-VKRFpYAdU~Est1aBic~RlKkYA6NgDw34~S6cqTb-69sSEgZOoZIYsP8tCOdScEjk7S-U3WP-BZ~kuCIqofIFcQX5biF8iEU-2I1MM5lFO5g-YtH1UdcT0wVE3d2eBRA7dQjk52c4dP-OJFb84Jl8TcB7JNG850dSpxKQFjVuwji3Cl2UJzfY1sffA6zgF01pJ3MKfj5q72die7lsTfGkDDrrFC2B3-ur9T-098auIWLbHtTTVaUTVBbbWG865e05csWQYs3JZd21RK-48QHQolCfYt7BzWoqm9v6BnNMAkdGUnrkggcRg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":22615,"name":"Knowledge Representation","url":"https://www.academia.edu/Documents/in/Knowledge_Representation"},{"id":69100,"name":"Data Science","url":"https://www.academia.edu/Documents/in/Data_Science"},{"id":1763882,"name":"Representation Politics","url":"https://www.academia.edu/Documents/in/Representation_Politics"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115583486"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115583486/A_Peircean_Ontology_of_Semantics"><img alt="Research paper thumbnail of A Peircean Ontology of Semantics" class="work-thumbnail" src="https://attachments.academia-assets.com/111948740/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115583486/A_Peircean_Ontology_of_Semantics">A Peircean Ontology of Semantics</a></div><div class="wp-workCard_item"><span>Lecture Notes in Computer Science</span><span>, 2002</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="108d4d4ca759e131bfd4288721641466" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111948740,"asset_id":115583486,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111948740/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115583486"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115583486"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115583486; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115583486]").text(description); $(".js-view-count[data-work-id=115583486]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115583486; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115583486']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115583486, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "108d4d4ca759e131bfd4288721641466" } } $('.js-work-strip[data-work-id=115583486]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115583486,"title":"A Peircean Ontology of Semantics","translated_title":"","metadata":{"ai_title_tag":"Modeling Semantic Signs through Peircean Semiotics","grobid_abstract":"Peirce's semiotics can be effectively used for modeling different sorts of signs. In this paper it is argued that semantic signs, which are signs from the semantic point of view, are no exception. It turns out, however, that a proper modeling of semantic signs needs a better understanding of the concept of qualisigns, as well as, of the relation between Peirce's categories and his theory of signs. 1 Introduction Recently we introduced a cognitively based model for Peirce's semiotics and its application to Boolean logical ([4]), morphological and syntactical ([8]), and syllogistic logical signs ([9]). The purpose of this paper is an attempt to use our theory to semantic signs as well. We will argue that the cognition of such signs amounts to a process which, by merging sensory and memory input qualities, represents the observed phenomenon as a proposition. In this paper, we will refer by semantics to such a cognitive process. It will be argued that the perception of a phenomenon involves the generation of semantic signs signifying the relation between external (sensory) and internal (memory) information. Such a process is Peircean in spirit: although our perception of the 'real' world phenomena arises from our thoughts, which are facts ([12]), only those thoughts will appear in our conception which are forced by the hard reality ([1]). A related problem discussed by Peirce is perceptual judgment ([7]5.15). What makes Peirce's framework especially attractive, is the fact that it allows for a single approach which can be uniformly applied for modeling the external input and internal knowledge, as well as, their relation. The purpose of this paper is an attempt to give a Peircean account of this last aspect of relation. An essential constituent of the above approach is Peirce's classification of signs ([7]2.243) which consists of nine kinds of aspects, or signs, that can be distinguished in the 'real' world. Another component is the concept of a sign interaction ([3]) which reveals how signs can emerge from other signs. Notice that sign interactions are a consequence of the inherently dynamic character of Peirce's definition of a sign. The semantic model presented in this paper can be said to be a preamble of the other models of signs mentioned above. That our earlier and current results are compatible, indicates the robustness of our cognitive interpretation of Peirce's semiotics. The late introduction of a Peircean model for semantics can be justified by the fact that semantic rules are typically more complex than, for example, the rules of syntax.","publication_date":{"day":null,"month":null,"year":2002,"errors":{}},"publication_name":"Lecture Notes in Computer Science","grobid_abstract_attachment_id":111948740},"translated_abstract":null,"internal_url":"https://www.academia.edu/115583486/A_Peircean_Ontology_of_Semantics","translated_internal_url":"","created_at":"2024-02-29T02:51:00.426-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":111948740,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111948740/thumbnails/1.jpg","file_name":"sem02.pdf","download_url":"https://www.academia.edu/attachments/111948740/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Peircean_Ontology_of_Semantics.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111948740/sem02-libre.pdf?1709204061=\u0026response-content-disposition=attachment%3B+filename%3DA_Peircean_Ontology_of_Semantics.pdf\u0026Expires=1733338056\u0026Signature=anO4mVFBBfA-opjnZAcREQX01ad3VTDmiB7lx8xX6zsbwfEaG99bw4yj6IPRcMYb9NB5vJ0oncaisn7BXp8p9mDixtBo0I3qy01tm3sudNeKPIhwAxJsaqW87yhmx4gD-aJDC-JQQPtkcz2NZgp4yjOL5~Yf9owVwuyo0IzXJ565WsCyiDS-Hw7Nfw~kTuPTpFyYdRIABF5H8nTrPYHAZVHaAv0S92K4X~OjtUOreFKdWswR3H22ImPE3IsPJResLE0n0OzDGZR-9IQs93glDSIPl0H9JNfsM4GsQbpze5uQUCOa4Z7UfHayDm47ml9vJ--pylbYqL3KPTJ8n8waPg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_Peircean_Ontology_of_Semantics","translated_slug":"","page_count":14,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":111948740,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111948740/thumbnails/1.jpg","file_name":"sem02.pdf","download_url":"https://www.academia.edu/attachments/111948740/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Peircean_Ontology_of_Semantics.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111948740/sem02-libre.pdf?1709204061=\u0026response-content-disposition=attachment%3B+filename%3DA_Peircean_Ontology_of_Semantics.pdf\u0026Expires=1733338056\u0026Signature=anO4mVFBBfA-opjnZAcREQX01ad3VTDmiB7lx8xX6zsbwfEaG99bw4yj6IPRcMYb9NB5vJ0oncaisn7BXp8p9mDixtBo0I3qy01tm3sudNeKPIhwAxJsaqW87yhmx4gD-aJDC-JQQPtkcz2NZgp4yjOL5~Yf9owVwuyo0IzXJ565WsCyiDS-Hw7Nfw~kTuPTpFyYdRIABF5H8nTrPYHAZVHaAv0S92K4X~OjtUOreFKdWswR3H22ImPE3IsPJResLE0n0OzDGZR-9IQs93glDSIPl0H9JNfsM4GsQbpze5uQUCOa4Z7UfHayDm47ml9vJ--pylbYqL3KPTJ8n8waPg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":98,"name":"Semiotics","url":"https://www.academia.edu/Documents/in/Semiotics"},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":805,"name":"Ontology","url":"https://www.academia.edu/Documents/in/Ontology"},{"id":31207,"name":"Semantics (Computer Science)","url":"https://www.academia.edu/Documents/in/Semantics_Computer_Science_"},{"id":69100,"name":"Data Science","url":"https://www.academia.edu/Documents/in/Data_Science"},{"id":3647879,"name":"Springer Ebooks","url":"https://www.academia.edu/Documents/in/Springer_Ebooks"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115583485"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115583485/A_Linearly_Complex_Model_for_Knowledge_Representation"><img alt="Research paper thumbnail of A Linearly Complex Model for Knowledge Representation" class="work-thumbnail" src="https://attachments.academia-assets.com/111948739/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115583485/A_Linearly_Complex_Model_for_Knowledge_Representation">A Linearly Complex Model for Knowledge Representation</a></div><div class="wp-workCard_item"><span>Lecture Notes in Computer Science</span><span>, 2002</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e3854ae0f57f3ba10acebe102db295f3" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111948739,"asset_id":115583485,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111948739/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115583485"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115583485"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115583485; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115583485]").text(description); $(".js-view-count[data-work-id=115583485]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115583485; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115583485']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115583485, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "e3854ae0f57f3ba10acebe102db295f3" } } $('.js-work-strip[data-work-id=115583485]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115583485,"title":"A Linearly Complex Model for Knowledge Representation","translated_title":"","metadata":{"grobid_abstract":"We present two results which complete our Peircean semiotic model of signs introduced in [10]. The first result is concerned with the potential of our model for the representation of knowledge. The second one consists of a formal proof about the model's complexity.","publication_date":{"day":null,"month":null,"year":2002,"errors":{}},"publication_name":"Lecture Notes in Computer Science","grobid_abstract_attachment_id":111948739},"translated_abstract":null,"internal_url":"https://www.academia.edu/115583485/A_Linearly_Complex_Model_for_Knowledge_Representation","translated_internal_url":"","created_at":"2024-02-29T02:51:00.240-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":111948739,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111948739/thumbnails/1.jpg","file_name":"know02.pdf","download_url":"https://www.academia.edu/attachments/111948739/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Linearly_Complex_Model_for_Knowledge_R.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111948739/know02-libre.pdf?1709204061=\u0026response-content-disposition=attachment%3B+filename%3DA_Linearly_Complex_Model_for_Knowledge_R.pdf\u0026Expires=1733338056\u0026Signature=QHSApPTUFhbnYNVFJ43StIbdoXgycmNDi-MRoBMsGCuJMdAivP9wW3vttHrpTneZCX-pOm14c8Tq153GcCmdLd0tBgezUWVn6li3UGdxv6ZBbOkzE3Iz0zIM0MpoEVhniCmdB58i6dG4lpaqDStjtk7z0wyqLI2tfdlNWkfTY9VzKTm0ICBT-wHqKZwycaXKND7ITdeJdnP6s2Q5ey7v~cD~1SlvvlyrRRogIJ69Id73OSXujCUbjqM4EjFqzuH8kM3GkXrEAbv7yxn35wStb9n~Dp9E6vAYbCzaPZtyAdyi2uHdN-1zHtdfzpMtNggKjma5hg8Ex-lceQDnkSpKOg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_Linearly_Complex_Model_for_Knowledge_Representation","translated_slug":"","page_count":14,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":111948739,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111948739/thumbnails/1.jpg","file_name":"know02.pdf","download_url":"https://www.academia.edu/attachments/111948739/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Linearly_Complex_Model_for_Knowledge_R.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111948739/know02-libre.pdf?1709204061=\u0026response-content-disposition=attachment%3B+filename%3DA_Linearly_Complex_Model_for_Knowledge_R.pdf\u0026Expires=1733338056\u0026Signature=QHSApPTUFhbnYNVFJ43StIbdoXgycmNDi-MRoBMsGCuJMdAivP9wW3vttHrpTneZCX-pOm14c8Tq153GcCmdLd0tBgezUWVn6li3UGdxv6ZBbOkzE3Iz0zIM0MpoEVhniCmdB58i6dG4lpaqDStjtk7z0wyqLI2tfdlNWkfTY9VzKTm0ICBT-wHqKZwycaXKND7ITdeJdnP6s2Q5ey7v~cD~1SlvvlyrRRogIJ69Id73OSXujCUbjqM4EjFqzuH8kM3GkXrEAbv7yxn35wStb9n~Dp9E6vAYbCzaPZtyAdyi2uHdN-1zHtdfzpMtNggKjma5hg8Ex-lceQDnkSpKOg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":98,"name":"Semiotics","url":"https://www.academia.edu/Documents/in/Semiotics"},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":287095,"name":"Knowledge Representation and Reasoning","url":"https://www.academia.edu/Documents/in/Knowledge_Representation_and_Reasoning"},{"id":1763882,"name":"Representation Politics","url":"https://www.academia.edu/Documents/in/Representation_Politics"},{"id":3647879,"name":"Springer Ebooks","url":"https://www.academia.edu/Documents/in/Springer_Ebooks"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115583484"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115583484/Knowledge_in_Formation"><img alt="Research paper thumbnail of Knowledge in Formation" class="work-thumbnail" src="https://attachments.academia-assets.com/111948741/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115583484/Knowledge_in_Formation">Knowledge in Formation</a></div><div class="wp-workCard_item"><span>Cognitive Technologies</span><span>, 2011</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d364f9d4a11c436336397c0b4c59798e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111948741,"asset_id":115583484,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111948741/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115583484"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115583484"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115583484; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115583484]").text(description); $(".js-view-count[data-work-id=115583484]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115583484; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115583484']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115583484, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "d364f9d4a11c436336397c0b4c59798e" } } $('.js-work-strip[data-work-id=115583484]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115583484,"title":"Knowledge in Formation","translated_title":"","metadata":{"publisher":"Springer Berlin Heidelberg","grobid_abstract":"The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.","publication_date":{"day":null,"month":null,"year":2011,"errors":{}},"publication_name":"Cognitive Technologies","grobid_abstract_attachment_id":111948741},"translated_abstract":null,"internal_url":"https://www.academia.edu/115583484/Knowledge_in_Formation","translated_internal_url":"","created_at":"2024-02-29T02:50:59.868-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":111948741,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111948741/thumbnails/1.jpg","file_name":"1.pdf","download_url":"https://www.academia.edu/attachments/111948741/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Knowledge_in_Formation.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111948741/1-libre.pdf?1709204062=\u0026response-content-disposition=attachment%3B+filename%3DKnowledge_in_Formation.pdf\u0026Expires=1733338056\u0026Signature=N2WkhRKrf5-To0PYix8TaIXZiedCiD3o02S5gPzg2IM1jQ-Gj5x8nQGIvERHbuLedR6s62iMH9aWmIRP7D0vtimc-0O~~GQSIGkqfDtdolJteU-c3H7GGswsfDPL1ckLEmKiA4b3E8vNqrbl1IKxyz7SzEz78pIb-BzKttdSXsZPz6F3T403F2B4Vn7uK9l8H0e6PRlSKTIqGm~lRpHzkrBNh2jWAZpgklJtaiadeD-yia6LqfFbyf28Y~TZpBGPQ6lhitj2wNlqtWTAzwr3lk03zik96MAkKGDTrOGGVWgQRJCvOcpssWrFkwBhB-0eLB7PyiDZC0U4cZ5BV0z4IQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Knowledge_in_Formation","translated_slug":"","page_count":22,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":111948741,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111948741/thumbnails/1.jpg","file_name":"1.pdf","download_url":"https://www.academia.edu/attachments/111948741/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Knowledge_in_Formation.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111948741/1-libre.pdf?1709204062=\u0026response-content-disposition=attachment%3B+filename%3DKnowledge_in_Formation.pdf\u0026Expires=1733338056\u0026Signature=N2WkhRKrf5-To0PYix8TaIXZiedCiD3o02S5gPzg2IM1jQ-Gj5x8nQGIvERHbuLedR6s62iMH9aWmIRP7D0vtimc-0O~~GQSIGkqfDtdolJteU-c3H7GGswsfDPL1ckLEmKiA4b3E8vNqrbl1IKxyz7SzEz78pIb-BzKttdSXsZPz6F3T403F2B4Vn7uK9l8H0e6PRlSKTIqGm~lRpHzkrBNh2jWAZpgklJtaiadeD-yia6LqfFbyf28Y~TZpBGPQ6lhitj2wNlqtWTAzwr3lk03zik96MAkKGDTrOGGVWgQRJCvOcpssWrFkwBhB-0eLB7PyiDZC0U4cZ5BV0z4IQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":98,"name":"Semiotics","url":"https://www.academia.edu/Documents/in/Semiotics"},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence"},{"id":805,"name":"Ontology","url":"https://www.academia.edu/Documents/in/Ontology"},{"id":1432,"name":"Natural Language Processing","url":"https://www.academia.edu/Documents/in/Natural_Language_Processing"},{"id":14493,"name":"Parsing","url":"https://www.academia.edu/Documents/in/Parsing"},{"id":16186,"name":"Cognitive Technologies","url":"https://www.academia.edu/Documents/in/Cognitive_Technologies"},{"id":69100,"name":"Data Science","url":"https://www.academia.edu/Documents/in/Data_Science"},{"id":1725616,"name":"Automatic Summarization","url":"https://www.academia.edu/Documents/in/Automatic_Summarization"},{"id":3647879,"name":"Springer Ebooks","url":"https://www.academia.edu/Documents/in/Springer_Ebooks"}],"urls":[{"id":39903409,"url":"http://link.springer.com/content/pdf/10.1007/978-3-642-17089-8.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115583483"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115583483/A_data_representation_for_abstract_reasoning"><img alt="Research paper thumbnail of A data representation for abstract reasoning" class="work-thumbnail" src="https://attachments.academia-assets.com/111948738/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115583483/A_data_representation_for_abstract_reasoning">A data representation for abstract reasoning</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6ad63ceeee8b010c376d310fe91c656d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111948738,"asset_id":115583483,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111948738/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115583483"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115583483"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115583483; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115583483]").text(description); $(".js-view-count[data-work-id=115583483]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115583483; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115583483']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115583483, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "6ad63ceeee8b010c376d310fe91c656d" } } $('.js-work-strip[data-work-id=115583483]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115583483,"title":"A data representation for abstract reasoning","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":1997,"errors":{}}},"translated_abstract":null,"internal_url":"https://www.academia.edu/115583483/A_data_representation_for_abstract_reasoning","translated_internal_url":"","created_at":"2024-02-29T02:50:59.748-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":111948738,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111948738/thumbnails/1.jpg","file_name":"download.pdf","download_url":"https://www.academia.edu/attachments/111948738/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_data_representation_for_abstract_reaso.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111948738/download-libre.pdf?1709204060=\u0026response-content-disposition=attachment%3B+filename%3DA_data_representation_for_abstract_reaso.pdf\u0026Expires=1733338056\u0026Signature=Y7yjGKkkH0cRRQoAg6j2ZE8Y3Hiah5c35EEjFEev1MZmmPASnCJzbbtSyjdCliQ4WpASSk6-I-saeiIkw04QPJkGaaegu2KjpGtgppUPnkQXM~wdypE20WEDmPT6AC~yH3ygBFxtmIWgUQx1Zrmpn~QFGerynDrJ7R4M6Hs8N6aVQWarw2radrc~5TpwgW6Y~yGyllbrwgyPUWzl6vBhrRzvi-OIh~oTfQonVroz6J9h89y6GEIssL1dIMgaLUbTAlMnuYSCG83-ScttdpLtentz~iNIKC3XAL5zKaqtUb2nZBU8KYdq3aGTtqhiM93JQkBSSi4QcaM6UhwulZsErQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_data_representation_for_abstract_reasoning","translated_slug":"","page_count":9,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":111948738,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111948738/thumbnails/1.jpg","file_name":"download.pdf","download_url":"https://www.academia.edu/attachments/111948738/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_data_representation_for_abstract_reaso.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111948738/download-libre.pdf?1709204060=\u0026response-content-disposition=attachment%3B+filename%3DA_data_representation_for_abstract_reaso.pdf\u0026Expires=1733338056\u0026Signature=Y7yjGKkkH0cRRQoAg6j2ZE8Y3Hiah5c35EEjFEev1MZmmPASnCJzbbtSyjdCliQ4WpASSk6-I-saeiIkw04QPJkGaaegu2KjpGtgppUPnkQXM~wdypE20WEDmPT6AC~yH3ygBFxtmIWgUQx1Zrmpn~QFGerynDrJ7R4M6Hs8N6aVQWarw2radrc~5TpwgW6Y~yGyllbrwgyPUWzl6vBhrRzvi-OIh~oTfQonVroz6J9h89y6GEIssL1dIMgaLUbTAlMnuYSCG83-ScttdpLtentz~iNIKC3XAL5zKaqtUb2nZBU8KYdq3aGTtqhiM93JQkBSSi4QcaM6UhwulZsErQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":271153,"name":"Data representation","url":"https://www.academia.edu/Documents/in/Data_representation"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115583311"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115583311/A_Peircean_ontology_of_language"><img alt="Research paper thumbnail of A Peircean ontology of language" class="work-thumbnail" src="https://attachments.academia-assets.com/111948590/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115583311/A_Peircean_ontology_of_language">A Peircean ontology of language</a></div><div class="wp-workCard_item"><span>Lecture Notes in Computer Science</span><span>, 2001</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="77e1fdba24c31cc0ec79e519f39c1acd" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111948590,"asset_id":115583311,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111948590/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115583311"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115583311"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115583311; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115583311]").text(description); $(".js-view-count[data-work-id=115583311]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115583311; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115583311']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115583311, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "77e1fdba24c31cc0ec79e519f39c1acd" } } $('.js-work-strip[data-work-id=115583311]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115583311,"title":"A Peircean ontology of language","translated_title":"","metadata":{"ai_title_tag":"A Semiotic Model for Language Processing","grobid_abstract":"U n iv ersity of N ijm egen, T h e N e th e rla n d s j a n o s S c s .k u n .n l A b s t r a c t. F o rm al m o d els of n a tu r a l lan g uag e o ften suffer fro m exces sive com plexity. A reaso n for th is, we th in k , m ay b e d u e to th e u n d erly in g a p p ro a c h itself. In th is p a p e r we in tro d u c e a novel, sem io tic b a se d m odel of la n g u ag e w hich p ro v id es us w ith a sim ple a lg o rith m for lan g u ag e p ro cessing.","publication_date":{"day":null,"month":null,"year":2001,"errors":{}},"publication_name":"Lecture Notes in Computer Science","grobid_abstract_attachment_id":111948590},"translated_abstract":null,"internal_url":"https://www.academia.edu/115583311/A_Peircean_ontology_of_language","translated_internal_url":"","created_at":"2024-02-29T02:48:37.936-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":111948590,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111948590/thumbnails/1.jpg","file_name":"19050.pdf","download_url":"https://www.academia.edu/attachments/111948590/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Peircean_ontology_of_language.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111948590/19050-libre.pdf?1709204101=\u0026response-content-disposition=attachment%3B+filename%3DA_Peircean_ontology_of_language.pdf\u0026Expires=1733338056\u0026Signature=H81IDNZFuMjuL7zNnvRCVkboxDcqE11iweCrxtDkDz5wuYaeD9jL5snfzrTQOEmQq6AcTzcYqh8y-d0DFfLV2ZSj60glt2cpGb207iiZJ5g86cUE~0llh1Qr-K8nRe-JC-zkV314FbmVe8IdzmO3upFImyFvhK7tiwXpnNJBm3ToOADmWzZ35hdthVQjZ19msWO2MjiHNrLNKmNxGhEwJX1QhqF1m9dk-HUb6XBl4xLVfN6mQ5HKlVFps9e-ZAbwKsGO6CobvxPFFADadBJU7nPAX~Lp~wAcEJd~p4JyKQTGtgtFwtbsfwEeqfeN0Ukb6VktWy~9xgmMkKXZtGlewA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_Peircean_ontology_of_language","translated_slug":"","page_count":15,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":111948590,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111948590/thumbnails/1.jpg","file_name":"19050.pdf","download_url":"https://www.academia.edu/attachments/111948590/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Peircean_ontology_of_language.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111948590/19050-libre.pdf?1709204101=\u0026response-content-disposition=attachment%3B+filename%3DA_Peircean_ontology_of_language.pdf\u0026Expires=1733338056\u0026Signature=H81IDNZFuMjuL7zNnvRCVkboxDcqE11iweCrxtDkDz5wuYaeD9jL5snfzrTQOEmQq6AcTzcYqh8y-d0DFfLV2ZSj60glt2cpGb207iiZJ5g86cUE~0llh1Qr-K8nRe-JC-zkV314FbmVe8IdzmO3upFImyFvhK7tiwXpnNJBm3ToOADmWzZ35hdthVQjZ19msWO2MjiHNrLNKmNxGhEwJX1QhqF1m9dk-HUb6XBl4xLVfN6mQ5HKlVFps9e-ZAbwKsGO6CobvxPFFADadBJU7nPAX~Lp~wAcEJd~p4JyKQTGtgtFwtbsfwEeqfeN0Ukb6VktWy~9xgmMkKXZtGlewA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":805,"name":"Ontology","url":"https://www.academia.edu/Documents/in/Ontology"},{"id":97618,"name":"Natural language","url":"https://www.academia.edu/Documents/in/Natural_language"},{"id":3647879,"name":"Springer Ebooks","url":"https://www.academia.edu/Documents/in/Springer_Ebooks"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="111049128"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/111049128/Towards_thought_as_a_logical_picture_of_signs"><img alt="Research paper thumbnail of Towards thought as a logical picture of signs" class="work-thumbnail" src="https://attachments.academia-assets.com/108707746/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/111049128/Towards_thought_as_a_logical_picture_of_signs">Towards thought as a logical picture of signs</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We are concerned with the problem of summarising the content of a coherent text. In this paper we...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We are concerned with the problem of summarising the content of a coherent text. In this paper we argue that complex units of symbols like sentences, for example, are signs and the meaning of a text arises via their interaction. We introduce a model for the generation of summaries and illustrate its potential by a realistic example. Keywords semiotic, CS Peirce, logic, summarisation</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="20d9c0767496948078631f0d3a6cf345" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":108707746,"asset_id":111049128,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/108707746/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="111049128"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="111049128"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 111049128; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=111049128]").text(description); $(".js-view-count[data-work-id=111049128]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 111049128; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='111049128']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 111049128, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "20d9c0767496948078631f0d3a6cf345" } } $('.js-work-strip[data-work-id=111049128]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":111049128,"title":"Towards thought as a logical picture of signs","translated_title":"","metadata":{"abstract":"We are concerned with the problem of summarising the content of a coherent text. In this paper we argue that complex units of symbols like sentences, for example, are signs and the meaning of a text arises via their interaction. We introduce a model for the generation of summaries and illustrate its potential by a realistic example. Keywords semiotic, CS Peirce, logic, summarisation","publisher":"Computing Science Institute Nijmegen, Faculty of Science, University of Nijmegen","publication_date":{"day":null,"month":null,"year":2001,"errors":{}}},"translated_abstract":"We are concerned with the problem of summarising the content of a coherent text. In this paper we argue that complex units of symbols like sentences, for example, are signs and the meaning of a text arises via their interaction. We introduce a model for the generation of summaries and illustrate its potential by a realistic example. Keywords semiotic, CS Peirce, logic, summarisation","internal_url":"https://www.academia.edu/111049128/Towards_thought_as_a_logical_picture_of_signs","translated_internal_url":"","created_at":"2023-12-10T06:54:58.645-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":108707746,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/108707746/thumbnails/1.jpg","file_name":"casys01.pdf","download_url":"https://www.academia.edu/attachments/108707746/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Towards_thought_as_a_logical_picture_of.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/108707746/casys01-libre.pdf?1702261533=\u0026response-content-disposition=attachment%3B+filename%3DTowards_thought_as_a_logical_picture_of.pdf\u0026Expires=1733338056\u0026Signature=GXR23zLsd4k~GVczAh3SwmPWD6oWD2tCqPnloo-FLxuR0moKOxV5deBfPbFwUMM3qRzn3IF7WJb9gBbspfkAanbnH1LyolmVD-oVVRXjfZ6TzX~PwVwQmpDt4UTfKE8JtU6tps4VUnGVBYVMf0Vw9El5Y0k3uSghgoGhUqTdwbVgZEBMfUC7LjxKm7w8MhsuhfqbfFDSnENiCEyIKV-~MfGUr6NrE0ULZ-ePLah8s9pyIqrCXjDE7rz895zONKUHkqf0GGiGT6~MQU~9RBTo7222-UCyLcL5mX6~eTFBx2hPtW8JwVmeRdK-K768ya25mSmqiBq~Blo~062dN9-N1Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Towards_thought_as_a_logical_picture_of_signs","translated_slug":"","page_count":16,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":108707746,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/108707746/thumbnails/1.jpg","file_name":"casys01.pdf","download_url":"https://www.academia.edu/attachments/108707746/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Towards_thought_as_a_logical_picture_of.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/108707746/casys01-libre.pdf?1702261533=\u0026response-content-disposition=attachment%3B+filename%3DTowards_thought_as_a_logical_picture_of.pdf\u0026Expires=1733338056\u0026Signature=GXR23zLsd4k~GVczAh3SwmPWD6oWD2tCqPnloo-FLxuR0moKOxV5deBfPbFwUMM3qRzn3IF7WJb9gBbspfkAanbnH1LyolmVD-oVVRXjfZ6TzX~PwVwQmpDt4UTfKE8JtU6tps4VUnGVBYVMf0Vw9El5Y0k3uSghgoGhUqTdwbVgZEBMfUC7LjxKm7w8MhsuhfqbfFDSnENiCEyIKV-~MfGUr6NrE0ULZ-ePLah8s9pyIqrCXjDE7rz895zONKUHkqf0GGiGT6~MQU~9RBTo7222-UCyLcL5mX6~eTFBx2hPtW8JwVmeRdK-K768ya25mSmqiBq~Blo~062dN9-N1Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[{"id":36808795,"url":"http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.58.5870\u0026rep=rep1\u0026type=pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="106059985"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/106059985/Towards_a_theory_of_meaning_extraction"><img alt="Research paper thumbnail of Towards a theory of meaning extraction" class="work-thumbnail" src="https://attachments.academia-assets.com/105356980/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/106059985/Towards_a_theory_of_meaning_extraction">Towards a theory of meaning extraction</a></div><div class="wp-workCard_item"><span>Proceedings of ICCS</span><span>, 2004</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a1763ca7eb4241c31ab172b2686c0be5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":105356980,"asset_id":106059985,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/105356980/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="106059985"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="106059985"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 106059985; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=106059985]").text(description); $(".js-view-count[data-work-id=106059985]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 106059985; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='106059985']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 106059985, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "a1763ca7eb4241c31ab172b2686c0be5" } } $('.js-work-strip[data-work-id=106059985]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":106059985,"title":"Towards a theory of meaning extraction","translated_title":"","metadata":{"publisher":"cs.ru.nl","grobid_abstract":"Using a Peircean model of sign recognition, we define meaning extraction as text summarization based on propositional signs. Such signs, as parts of sentences, can be conceived as transitions between successive states. Consecutive transitions can be combined to generate a single proposition (or sentence) comprising the summary of a text.","publication_date":{"day":null,"month":null,"year":2004,"errors":{}},"publication_name":"Proceedings of ICCS","grobid_abstract_attachment_id":105356980},"translated_abstract":null,"internal_url":"https://www.academia.edu/106059985/Towards_a_theory_of_meaning_extraction","translated_internal_url":"","created_at":"2023-08-28T23:50:42.435-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":105356980,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105356980/thumbnails/1.jpg","file_name":"meaningext.pdf","download_url":"https://www.academia.edu/attachments/105356980/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Towards_a_theory_of_meaning_extraction.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105356980/meaningext-libre.pdf?1693319155=\u0026response-content-disposition=attachment%3B+filename%3DTowards_a_theory_of_meaning_extraction.pdf\u0026Expires=1733338056\u0026Signature=MmZOdYsRE8rZfPcGnEXFQsIL84knC4MrCvUHLqb4LJfC-Ezm85h~BDOleSMe2ri0Nc-iF1QrKroK-TCBQx-QRKAHyPcgxUa6FKzJu-sTBL5uHIeTz07jjgGBoR75~fZdxpCx2ipcDmKlN82Sa2-s5J~7gpn1E-g0ww9voM1lp94C9wYsFzcLJDMCf5eIBGZDbnjuXAWgS~kSKGNx59oLi5djozLan3-yPwWUfMU~StB4z0rLLArOBIUec8elwtel2fb6aGEK3Zfi~kr0r2xdPHGGNlyMF8wBLAa~zle4RLMSPrVOPyYK0bA0-2xaJi6SWK1ER6ytjSJ8larvjtP5Zg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Towards_a_theory_of_meaning_extraction","translated_slug":"","page_count":14,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":105356980,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105356980/thumbnails/1.jpg","file_name":"meaningext.pdf","download_url":"https://www.academia.edu/attachments/105356980/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Towards_a_theory_of_meaning_extraction.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105356980/meaningext-libre.pdf?1693319155=\u0026response-content-disposition=attachment%3B+filename%3DTowards_a_theory_of_meaning_extraction.pdf\u0026Expires=1733338056\u0026Signature=MmZOdYsRE8rZfPcGnEXFQsIL84knC4MrCvUHLqb4LJfC-Ezm85h~BDOleSMe2ri0Nc-iF1QrKroK-TCBQx-QRKAHyPcgxUa6FKzJu-sTBL5uHIeTz07jjgGBoR75~fZdxpCx2ipcDmKlN82Sa2-s5J~7gpn1E-g0ww9voM1lp94C9wYsFzcLJDMCf5eIBGZDbnjuXAWgS~kSKGNx59oLi5djozLan3-yPwWUfMU~StB4z0rLLArOBIUec8elwtel2fb6aGEK3Zfi~kr0r2xdPHGGNlyMF8wBLAa~zle4RLMSPrVOPyYK0bA0-2xaJi6SWK1ER6ytjSJ8larvjtP5Zg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":184,"name":"Sociology","url":"https://www.academia.edu/Documents/in/Sociology"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="106059888"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/106059888/On_the_isomorphism_of_sign_logic_and_language_a_novel_framework_for_language_modelling"><img alt="Research paper thumbnail of On the isomorphism of sign, logic and language : a novel framework for language modelling" class="work-thumbnail" src="https://attachments.academia-assets.com/105356899/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/106059888/On_the_isomorphism_of_sign_logic_and_language_a_novel_framework_for_language_modelling">On the isomorphism of sign, logic and language : a novel framework for language modelling</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="52f52454ad3833332bd7e6080529c3cc" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":105356899,"asset_id":106059888,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/105356899/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="106059888"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="106059888"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 106059888; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=106059888]").text(description); $(".js-view-count[data-work-id=106059888]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 106059888; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='106059888']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 106059888, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "52f52454ad3833332bd7e6080529c3cc" } } $('.js-work-strip[data-work-id=106059888]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":106059888,"title":"On the isomorphism of sign, logic and language : a novel framework for language modelling","translated_title":"","metadata":{"grobid_abstract":"Formal models of n atu ra l language often suffer from th eir excessive com plexity which, in our opinion, may be due to th e underlying approach itself. In th is paper we introduce a semiotic model of language which is only linearly complex. T he existence of such a model is conform w ith th e experience th a t language is a real-tim e complex phenom enon.","publication_date":{"day":27,"month":9,"year":2001,"errors":{}},"grobid_abstract_attachment_id":105356899},"translated_abstract":null,"internal_url":"https://www.academia.edu/106059888/On_the_isomorphism_of_sign_logic_and_language_a_novel_framework_for_language_modelling","translated_internal_url":"","created_at":"2023-08-28T23:48:04.986-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":105356899,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105356899/thumbnails/1.jpg","file_name":"19085.pdf","download_url":"https://www.academia.edu/attachments/105356899/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"On_the_isomorphism_of_sign_logic_and_lan.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105356899/19085-libre.pdf?1693319416=\u0026response-content-disposition=attachment%3B+filename%3DOn_the_isomorphism_of_sign_logic_and_lan.pdf\u0026Expires=1733338056\u0026Signature=W4Mwca3MaqJ2z6vIq-6Qlm3BOMEkxiBTTGBslLNTT72BqnxCNLAOfY4rC6EqIpepxVXKuNEikoSZTrOJskIaRQ6fiU3YXPkiiki7ubJgZ~FbMCrOAAHiS9d4qZL2AIhqQe9OpJDw90el7kbCBD~3evmbUfGSn7xQeJ5yCSEqA~zxd74Xb0bgyIP6J93e1OaxDbcd7zReF7YC3wevmbgxjlLuJ9~lNlW9i8s~pyUbRTCPne3v4-RC8IAsmAAv8yhRhB~VBzTftlOknxXzSXeZDcQyiBf0Pjs87uqOlru1NJ5FQITomqLPtuZHVEPbyBmsFjUVjEdNA26KeaebWL9iKw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"On_the_isomorphism_of_sign_logic_and_language_a_novel_framework_for_language_modelling","translated_slug":"","page_count":31,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":105356899,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105356899/thumbnails/1.jpg","file_name":"19085.pdf","download_url":"https://www.academia.edu/attachments/105356899/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"On_the_isomorphism_of_sign_logic_and_lan.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105356899/19085-libre.pdf?1693319416=\u0026response-content-disposition=attachment%3B+filename%3DOn_the_isomorphism_of_sign_logic_and_lan.pdf\u0026Expires=1733338056\u0026Signature=W4Mwca3MaqJ2z6vIq-6Qlm3BOMEkxiBTTGBslLNTT72BqnxCNLAOfY4rC6EqIpepxVXKuNEikoSZTrOJskIaRQ6fiU3YXPkiiki7ubJgZ~FbMCrOAAHiS9d4qZL2AIhqQe9OpJDw90el7kbCBD~3evmbUfGSn7xQeJ5yCSEqA~zxd74Xb0bgyIP6J93e1OaxDbcd7zReF7YC3wevmbgxjlLuJ9~lNlW9i8s~pyUbRTCPne3v4-RC8IAsmAAv8yhRhB~VBzTftlOknxXzSXeZDcQyiBf0Pjs87uqOlru1NJ5FQITomqLPtuZHVEPbyBmsFjUVjEdNA26KeaebWL9iKw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":98,"name":"Semiotics","url":"https://www.academia.edu/Documents/in/Semiotics"},{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics"},{"id":924,"name":"Logic","url":"https://www.academia.edu/Documents/in/Logic"},{"id":6671,"name":"Syntax","url":"https://www.academia.edu/Documents/in/Syntax"},{"id":106761,"name":"Semiotic","url":"https://www.academia.edu/Documents/in/Semiotic"},{"id":287095,"name":"Knowledge Representation and Reasoning","url":"https://www.academia.edu/Documents/in/Knowledge_Representation_and_Reasoning"}],"urls":[{"id":33667994,"url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.23.769"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="89369430"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/89369430/Improvement_of_the_Microbiological_Safety_of_Two_Chilled_Semi_Prepared_Meals_by_Gamma_Irradiation"><img alt="Research paper thumbnail of Improvement of the Microbiological Safety of Two Chilled Semi-Prepared Meals by Gamma Irradiation" class="work-thumbnail" src="https://attachments.academia-assets.com/93183386/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/89369430/Improvement_of_the_Microbiological_Safety_of_Two_Chilled_Semi_Prepared_Meals_by_Gamma_Irradiation">Improvement of the Microbiological Safety of Two Chilled Semi-Prepared Meals by Gamma Irradiation</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Summary Experimental batches of a stuffed pasta product, tortellini, and slightly pre-fried bread...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Summary Experimental batches of a stuffed pasta product, tortellini, and slightly pre-fried bread- ed reconstituted turkey steaks with cheese and ham filling, Cordon Bleu, were prepared according to commercial recipes, then inoculated with 104 CFU/g of Staphylococcus aureus (in case of tortellini) and with 106 CFU/g of Listeria monocytogenes (in case of Cordon Bleu) prior to packing in plastic bags under a gas atmosphere of 20 % CO2 and 80 % N2. The in- oculated packages were irradiated at 3 kGy (tortellini) and 2 kGy (Cordon Bleu) with a 60 Co radiation source. The applied radiation doses were sensorially acceptable for these products. The experimental batches of tortellini were stored at 15 °C, while the Cordon Bleu samples were stored at 5 and 9 °C. Unirradiated samples were kept together with the respective irradiated ones. Storage was continued for 4 weeks and microbiological tests were performed before and after the irradiation, and subsequently after every seven days. Besides...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="49a5ad0f7b4869d5d899fef414d99fde" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":93183386,"asset_id":89369430,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/93183386/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="89369430"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="89369430"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 89369430; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=89369430]").text(description); $(".js-view-count[data-work-id=89369430]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 89369430; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='89369430']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 89369430, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "49a5ad0f7b4869d5d899fef414d99fde" } } $('.js-work-strip[data-work-id=89369430]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":89369430,"title":"Improvement of the Microbiological Safety of Two Chilled Semi-Prepared Meals by Gamma Irradiation","translated_title":"","metadata":{"abstract":"Summary Experimental batches of a stuffed pasta product, tortellini, and slightly pre-fried bread- ed reconstituted turkey steaks with cheese and ham filling, Cordon Bleu, were prepared according to commercial recipes, then inoculated with 104 CFU/g of Staphylococcus aureus (in case of tortellini) and with 106 CFU/g of Listeria monocytogenes (in case of Cordon Bleu) prior to packing in plastic bags under a gas atmosphere of 20 % CO2 and 80 % N2. The in- oculated packages were irradiated at 3 kGy (tortellini) and 2 kGy (Cordon Bleu) with a 60 Co radiation source. The applied radiation doses were sensorially acceptable for these products. The experimental batches of tortellini were stored at 15 °C, while the Cordon Bleu samples were stored at 5 and 9 °C. Unirradiated samples were kept together with the respective irradiated ones. Storage was continued for 4 weeks and microbiological tests were performed before and after the irradiation, and subsequently after every seven days. Besides..."},"translated_abstract":"Summary Experimental batches of a stuffed pasta product, tortellini, and slightly pre-fried bread- ed reconstituted turkey steaks with cheese and ham filling, Cordon Bleu, were prepared according to commercial recipes, then inoculated with 104 CFU/g of Staphylococcus aureus (in case of tortellini) and with 106 CFU/g of Listeria monocytogenes (in case of Cordon Bleu) prior to packing in plastic bags under a gas atmosphere of 20 % CO2 and 80 % N2. The in- oculated packages were irradiated at 3 kGy (tortellini) and 2 kGy (Cordon Bleu) with a 60 Co radiation source. The applied radiation doses were sensorially acceptable for these products. The experimental batches of tortellini were stored at 15 °C, while the Cordon Bleu samples were stored at 5 and 9 °C. Unirradiated samples were kept together with the respective irradiated ones. Storage was continued for 4 weeks and microbiological tests were performed before and after the irradiation, and subsequently after every seven days. Besides...","internal_url":"https://www.academia.edu/89369430/Improvement_of_the_Microbiological_Safety_of_Two_Chilled_Semi_Prepared_Meals_by_Gamma_Irradiation","translated_internal_url":"","created_at":"2022-10-27T22:44:30.534-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":93183386,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/93183386/thumbnails/1.jpg","file_name":"162882.pdf","download_url":"https://www.academia.edu/attachments/93183386/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Improvement_of_the_Microbiological_Safet.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/93183386/162882-libre.pdf?1666937176=\u0026response-content-disposition=attachment%3B+filename%3DImprovement_of_the_Microbiological_Safet.pdf\u0026Expires=1733338056\u0026Signature=GNbGsZnNMWTSRBn8vjvxbIIH4LE-NslY-XEndL3YWeVa5i0ri1bAvrHgmEA5YqgzQ7Qpig7HptSZ3pS1Q2IFE32MIij6DgArkoOXOnInp1qUtz-uCzOUoAzTLvRtgUSlGrl~nAO07NaDQaMr1pvPSWPfoSyi37Sv7BtlSmJs2PCBpWa7nE~Hp-4iCPqvsqRUlg9MqjSGdmPVJN7FC3viUrz8Fp1zjb~iDsjvTPTNINfb-ftgw8qbsmk-ZT7rMTC~XKh37dR4o~NeNPcswE~cVFH1jJEza77EBSDwBZW25MxunVyto-Jk5AJcqXRCqYUV~bH~LChUxnPdvO3adlkWPQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Improvement_of_the_Microbiological_Safety_of_Two_Chilled_Semi_Prepared_Meals_by_Gamma_Irradiation","translated_slug":"","page_count":7,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":93183386,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/93183386/thumbnails/1.jpg","file_name":"162882.pdf","download_url":"https://www.academia.edu/attachments/93183386/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Improvement_of_the_Microbiological_Safet.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/93183386/162882-libre.pdf?1666937176=\u0026response-content-disposition=attachment%3B+filename%3DImprovement_of_the_Microbiological_Safet.pdf\u0026Expires=1733338056\u0026Signature=GNbGsZnNMWTSRBn8vjvxbIIH4LE-NslY-XEndL3YWeVa5i0ri1bAvrHgmEA5YqgzQ7Qpig7HptSZ3pS1Q2IFE32MIij6DgArkoOXOnInp1qUtz-uCzOUoAzTLvRtgUSlGrl~nAO07NaDQaMr1pvPSWPfoSyi37Sv7BtlSmJs2PCBpWa7nE~Hp-4iCPqvsqRUlg9MqjSGdmPVJN7FC3viUrz8Fp1zjb~iDsjvTPTNINfb-ftgw8qbsmk-ZT7rMTC~XKh37dR4o~NeNPcswE~cVFH1jJEza77EBSDwBZW25MxunVyto-Jk5AJcqXRCqYUV~bH~LChUxnPdvO3adlkWPQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":66912,"name":"SHELF LIFE","url":"https://www.academia.edu/Documents/in/SHELF_LIFE"},{"id":74144,"name":"Lactic Acid Bacteria","url":"https://www.academia.edu/Documents/in/Lactic_Acid_Bacteria"},{"id":104178,"name":"Listeria monocytogenes","url":"https://www.academia.edu/Documents/in/Listeria_monocytogenes"},{"id":107477,"name":"Food Technology and Biotechnology","url":"https://www.academia.edu/Documents/in/Food_Technology_and_Biotechnology"},{"id":116078,"name":"Staphylococcus aureus","url":"https://www.academia.edu/Documents/in/Staphylococcus_aureus"},{"id":225993,"name":"Lipid Oxidation","url":"https://www.academia.edu/Documents/in/Lipid_Oxidation"},{"id":389506,"name":"Radiation Dose","url":"https://www.academia.edu/Documents/in/Radiation_Dose"},{"id":698785,"name":"Side Effect","url":"https://www.academia.edu/Documents/in/Side_Effect"},{"id":1074508,"name":"Lactic Acid","url":"https://www.academia.edu/Documents/in/Lactic_Acid"},{"id":1221610,"name":"Gamma Irradiation","url":"https://www.academia.edu/Documents/in/Gamma_Irradiation"},{"id":1550290,"name":"Pathogenic Bacteria","url":"https://www.academia.edu/Documents/in/Pathogenic_Bacteria"},{"id":2288920,"name":"Factor of Safety","url":"https://www.academia.edu/Documents/in/Factor_of_Safety"},{"id":2628956,"name":"Storage temperature","url":"https://www.academia.edu/Documents/in/Storage_temperature"}],"urls":[{"id":25227307,"url":"http://www.ftb.com.hr/43-263.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="79627936"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/79627936/A_tanul%C3%B3_modellje"><img alt="Research paper thumbnail of A tanuló modellje" class="work-thumbnail" src="https://attachments.academia-assets.com/86277773/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/79627936/A_tanul%C3%B3_modellje">A tanuló modellje</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b898520c0044bb9ea438dcbf8299e9c9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":86277773,"asset_id":79627936,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/86277773/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="79627936"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="79627936"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79627936; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79627936]").text(description); $(".js-view-count[data-work-id=79627936]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79627936; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79627936']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 79627936, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b898520c0044bb9ea438dcbf8299e9c9" } } $('.js-work-strip[data-work-id=79627936]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79627936,"title":"A tanuló modellje","translated_title":"","metadata":{"publisher":"Szegedi Tudományegyetem, Bölcsészet- és Társadalomtudományi Kar","publication_date":{"day":null,"month":null,"year":1993,"errors":{}}},"translated_abstract":null,"internal_url":"https://www.academia.edu/79627936/A_tanul%C3%B3_modellje","translated_internal_url":"","created_at":"2022-05-22T00:06:31.702-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":86277773,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86277773/thumbnails/1.jpg","file_name":"229438626.pdf","download_url":"https://www.academia.edu/attachments/86277773/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_tanulo_modellje.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86277773/229438626-libre.pdf?1653203635=\u0026response-content-disposition=attachment%3B+filename%3DA_tanulo_modellje.pdf\u0026Expires=1733338056\u0026Signature=FHJSVg1x1OQXOOEfDBpqXo4SdQTEDS4EzHHrWpMaSsYwPS65OWhZD3EP5GAaILSBh8Lwh6J9G7caQoSOeijTOwiZMOlRSDMveDajcG5vXIxz7NtiQUTHK9faBJIShWDIHhp7x1yQ7swWRl6tXJp0jGzxwpeEACfafWvYdUj2f3ejzeIz~Ol08xrYeG--E9v~gJ8wKyrawdy~o8BMeuz686jWnYdslTKbWSNdYej~N4spA-Q43AaBeeGSd0EoTBal04m6pQ8h3rJKdN6CTK2BC6zQqWNRC2bnmt9WSxP1eT0tyVwdUiqF7HtxiahYqv9pNXcy3mUGswiBQZvFzS0iVA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_tanuló_modellje","translated_slug":"","page_count":12,"language":"hu","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":86277773,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86277773/thumbnails/1.jpg","file_name":"229438626.pdf","download_url":"https://www.academia.edu/attachments/86277773/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_tanulo_modellje.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86277773/229438626-libre.pdf?1653203635=\u0026response-content-disposition=attachment%3B+filename%3DA_tanulo_modellje.pdf\u0026Expires=1733338056\u0026Signature=FHJSVg1x1OQXOOEfDBpqXo4SdQTEDS4EzHHrWpMaSsYwPS65OWhZD3EP5GAaILSBh8Lwh6J9G7caQoSOeijTOwiZMOlRSDMveDajcG5vXIxz7NtiQUTHK9faBJIShWDIHhp7x1yQ7swWRl6tXJp0jGzxwpeEACfafWvYdUj2f3ejzeIz~Ol08xrYeG--E9v~gJ8wKyrawdy~o8BMeuz686jWnYdslTKbWSNdYej~N4spA-Q43AaBeeGSd0EoTBal04m6pQ8h3rJKdN6CTK2BC6zQqWNRC2bnmt9WSxP1eT0tyVwdUiqF7HtxiahYqv9pNXcy3mUGswiBQZvFzS0iVA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[{"id":20659414,"url":"https://core.ac.uk/download/229438626.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="79627935"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/79627935/Az_Intelligent_Tutoring_System_tud%C3%A1sb%C3%A1zis"><img alt="Research paper thumbnail of Az Intelligent Tutoring System tudásbázis" class="work-thumbnail" src="https://attachments.academia-assets.com/86277772/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/79627935/Az_Intelligent_Tutoring_System_tud%C3%A1sb%C3%A1zis">Az Intelligent Tutoring System tudásbázis</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3bf802f1a0ab9d76768a6e5db78ab049" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":86277772,"asset_id":79627935,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/86277772/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="79627935"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="79627935"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79627935; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79627935]").text(description); $(".js-view-count[data-work-id=79627935]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79627935; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79627935']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 79627935, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3bf802f1a0ab9d76768a6e5db78ab049" } } $('.js-work-strip[data-work-id=79627935]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79627935,"title":"Az Intelligent Tutoring System tudásbázis","translated_title":"","metadata":{"publisher":"Szegedi Tudományegyetem, Bölcsészet- és Társadalomtudományi Kar","publication_date":{"day":null,"month":null,"year":1993,"errors":{}}},"translated_abstract":null,"internal_url":"https://www.academia.edu/79627935/Az_Intelligent_Tutoring_System_tud%C3%A1sb%C3%A1zis","translated_internal_url":"","created_at":"2022-05-22T00:06:31.550-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":86277772,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86277772/thumbnails/1.jpg","file_name":"229436225.pdf","download_url":"https://www.academia.edu/attachments/86277772/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Az_Intelligent_Tutoring_System_tudasbazi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86277772/229436225-libre.pdf?1653203618=\u0026response-content-disposition=attachment%3B+filename%3DAz_Intelligent_Tutoring_System_tudasbazi.pdf\u0026Expires=1733338056\u0026Signature=NiMdH--DNfVrpWTadeVoi9aPDI6WADSE1--6TQr9EPYL~D-HYpyOSoaoB2AIB0~-cR6WO9y0jTasDT4Uz-qlizELEYZSvLTNRZZLQA1dyxaDfQO5R~tTYVtIwYS75vKFQLSa3tBQIw1RvLKWjfzGJ-cREj2mEXW8hkSsZyGQNqQhPPDvmrgHLAMi0JT1BP0aLlozZUhwPjWIZ18uBDvPrRmSWYBgEJLlYRxD7828GFjHwbSNLtYtO-4Tr200POvPABgblxpWFwkaeEDWt~nvQ1bk6~qdmmtoojr4sUH8JLQOzNPP~kYk4rhuSUjF~P9RDFsn0fZ3aInGzLCjWJThjA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Az_Intelligent_Tutoring_System_tudásbázis","translated_slug":"","page_count":9,"language":"hu","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":86277772,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86277772/thumbnails/1.jpg","file_name":"229436225.pdf","download_url":"https://www.academia.edu/attachments/86277772/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Az_Intelligent_Tutoring_System_tudasbazi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86277772/229436225-libre.pdf?1653203618=\u0026response-content-disposition=attachment%3B+filename%3DAz_Intelligent_Tutoring_System_tudasbazi.pdf\u0026Expires=1733338056\u0026Signature=NiMdH--DNfVrpWTadeVoi9aPDI6WADSE1--6TQr9EPYL~D-HYpyOSoaoB2AIB0~-cR6WO9y0jTasDT4Uz-qlizELEYZSvLTNRZZLQA1dyxaDfQO5R~tTYVtIwYS75vKFQLSa3tBQIw1RvLKWjfzGJ-cREj2mEXW8hkSsZyGQNqQhPPDvmrgHLAMi0JT1BP0aLlozZUhwPjWIZ18uBDvPrRmSWYBgEJLlYRxD7828GFjHwbSNLtYtO-4Tr200POvPABgblxpWFwkaeEDWt~nvQ1bk6~qdmmtoojr4sUH8JLQOzNPP~kYk4rhuSUjF~P9RDFsn0fZ3aInGzLCjWJThjA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":86277771,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86277771/thumbnails/1.jpg","file_name":"229436225.pdf","download_url":"https://www.academia.edu/attachments/86277771/download_file","bulk_download_file_name":"Az_Intelligent_Tutoring_System_tudasbazi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86277771/229436225-libre.pdf?1653203618=\u0026response-content-disposition=attachment%3B+filename%3DAz_Intelligent_Tutoring_System_tudasbazi.pdf\u0026Expires=1733338056\u0026Signature=P2aULPxh4zc-Au00es6~Ej-eywxMEtKVMNZVC70Ccc33O-vzj6bjGvWsJaP0eine60sGFpS0MOtNDgdJMGCj3utjRtsXm5VhwHVsRWvPLm4NWGnph8QoK8omyjOwDMMM8QGoWbrDqt3cCONGI2g7CGigDw527tFvSGweheWHdvyJmEEN~JKdRcfGKqC-rNuDCmhJG9cm0-KtT3e-Y1T~dJf4~134PbSfOlvnCOyVXN2pIGJCWIu5qCUiuD~SsdJuOioHS7xW8-gLIjwlumPRko1x8y3dhMlbBOfvbPaTlhP-wqAf6BLxWaDhuKXkbUiBL88glvILy3d63uiV1WOj0A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[{"id":20659413,"url":"https://core.ac.uk/download/229436225.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="79627934"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/79627934/On_the_Isomorphism_of_Signs_Logic_and_Language_A_novel_framework_for_language_modelling"><img alt="Research paper thumbnail of On the Isomorphism of Signs, Logic and Language -- A novel framework for language modelling" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/79627934/On_the_Isomorphism_of_Signs_Logic_and_Language_A_novel_framework_for_language_modelling">On the Isomorphism of Signs, Logic and Language -- A novel framework for language modelling</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We argue that a connective element between the three domains, signs, logic and language, could be...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We argue that a connective element between the three domains, signs, logic and language, could be knowledge representation. This paper is an attempt to show that knowledge can be based on signs, that how knowledge emerges, that has a logical meaning, and that language is a representation of knowledge.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="79627934"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="79627934"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79627934; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79627934]").text(description); $(".js-view-count[data-work-id=79627934]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79627934; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79627934']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 79627934, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=79627934]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79627934,"title":"On the Isomorphism of Signs, Logic and Language -- A novel framework for language modelling","translated_title":"","metadata":{"abstract":"We argue that a connective element between the three domains, signs, logic and language, could be knowledge representation. This paper is an attempt to show that knowledge can be based on signs, that how knowledge emerges, that has a logical meaning, and that language is a representation of knowledge.","publication_date":{"day":null,"month":null,"year":2002,"errors":{}}},"translated_abstract":"We argue that a connective element between the three domains, signs, logic and language, could be knowledge representation. This paper is an attempt to show that knowledge can be based on signs, that how knowledge emerges, that has a logical meaning, and that language is a representation of knowledge.","internal_url":"https://www.academia.edu/79627934/On_the_Isomorphism_of_Signs_Logic_and_Language_A_novel_framework_for_language_modelling","translated_internal_url":"","created_at":"2022-05-22T00:06:31.399-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"On_the_Isomorphism_of_Signs_Logic_and_Language_A_novel_framework_for_language_modelling","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[],"research_interests":[{"id":924,"name":"Logic","url":"https://www.academia.edu/Documents/in/Logic"},{"id":6671,"name":"Syntax","url":"https://www.academia.edu/Documents/in/Syntax"},{"id":106761,"name":"Semiotic","url":"https://www.academia.edu/Documents/in/Semiotic"}],"urls":[{"id":20659412,"url":"http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.9.2422\u0026rep=rep1\u0026type=pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="79627933"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/79627933/A_novel_framework_for_language_modelling"><img alt="Research paper thumbnail of A novel framework for language modelling" class="work-thumbnail" src="https://attachments.academia-assets.com/86277770/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/79627933/A_novel_framework_for_language_modelling">A novel framework for language modelling</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5b2802a700293e3e764480e42d11ec11" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":86277770,"asset_id":79627933,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/86277770/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="79627933"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="79627933"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79627933; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79627933]").text(description); $(".js-view-count[data-work-id=79627933]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79627933; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79627933']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 79627933, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "5b2802a700293e3e764480e42d11ec11" } } $('.js-work-strip[data-work-id=79627933]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79627933,"title":"A novel framework for language modelling","translated_title":"","metadata":{"grobid_abstract":"A b s tr a c t. Formal models of natural language often suffer from their excessive complexity which, in our opinion, may be due to the underlying approach itself. In this paper we introduce a semiotic model of language which is only linearly complex. The existence of such a model is conform with the experience th a t language is a real-time complex phenomenon.","publication_date":{"day":null,"month":null,"year":2018,"errors":{}},"grobid_abstract_attachment_id":86277770},"translated_abstract":null,"internal_url":"https://www.academia.edu/79627933/A_novel_framework_for_language_modelling","translated_internal_url":"","created_at":"2022-05-22T00:06:31.197-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":86277770,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86277770/thumbnails/1.jpg","file_name":"19084.pdf","download_url":"https://www.academia.edu/attachments/86277770/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_novel_framework_for_language_modelling.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86277770/19084-libre.pdf?1653203647=\u0026response-content-disposition=attachment%3B+filename%3DA_novel_framework_for_language_modelling.pdf\u0026Expires=1733338056\u0026Signature=MiGeIKlbnLLXiDxyyDZeB16WTtnfn0aSPjb8gRnZ1wN0oubSAHMIxJBSC~mqkr6ruqEWRRP-XnVH67ffnnUpf5GEY1AISQHizjFbZyaLjmJdqSxmyHuXKkeMTGgQF5ZDq3O21zNgmSwKYMofxDEvMbdN0-1Mn5kUfv2h5tiqaUZ4R9rZKAwpTCcG7-Hgz04JmFyPNo934JA58qMdYxHAnwwhdmBcACauThKor1GgCAia1S5Vlk~f6SQ2jN0YqiTGYIF5uc0N-Je2Ipcd6rLlFcVMglFjLZy7sUXwhxbuKowNELXdzmUVLtSaKIAR3-koVBbCh5Ml3mwke1qcSWvygw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_novel_framework_for_language_modelling","translated_slug":"","page_count":29,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":86277770,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86277770/thumbnails/1.jpg","file_name":"19084.pdf","download_url":"https://www.academia.edu/attachments/86277770/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_novel_framework_for_language_modelling.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86277770/19084-libre.pdf?1653203647=\u0026response-content-disposition=attachment%3B+filename%3DA_novel_framework_for_language_modelling.pdf\u0026Expires=1733338056\u0026Signature=MiGeIKlbnLLXiDxyyDZeB16WTtnfn0aSPjb8gRnZ1wN0oubSAHMIxJBSC~mqkr6ruqEWRRP-XnVH67ffnnUpf5GEY1AISQHizjFbZyaLjmJdqSxmyHuXKkeMTGgQF5ZDq3O21zNgmSwKYMofxDEvMbdN0-1Mn5kUfv2h5tiqaUZ4R9rZKAwpTCcG7-Hgz04JmFyPNo934JA58qMdYxHAnwwhdmBcACauThKor1GgCAia1S5Vlk~f6SQ2jN0YqiTGYIF5uc0N-Je2Ipcd6rLlFcVMglFjLZy7sUXwhxbuKowNELXdzmUVLtSaKIAR3-koVBbCh5Ml3mwke1qcSWvygw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[{"id":20659411,"url":"https://repository.ubn.ru.nl/bitstream/handle/2066/19084/19084.pdf?sequence=1"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="79627932"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/79627932/On_the_isomorphism_of_signs_logic_and_language_A_novel_framework_for_language_modeling"><img alt="Research paper thumbnail of On the isomorphism of signs , logic and language A novel framework for language modeling" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/79627932/On_the_isomorphism_of_signs_logic_and_language_A_novel_framework_for_language_modeling">On the isomorphism of signs , logic and language A novel framework for language modeling</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We argue that a connective element between the three domains, signs, logic and language, could be...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We argue that a connective element between the three domains, signs, logic and language, could be knowledge representation. This paper is an attempt to show that knowledge can be based on signs, that how knowledge emerges, that has a logical meaning, and that language is a representation of knowledge.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="79627932"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="79627932"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79627932; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79627932]").text(description); $(".js-view-count[data-work-id=79627932]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79627932; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79627932']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 79627932, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=79627932]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79627932,"title":"On the isomorphism of signs , logic and language A novel framework for language modeling","translated_title":"","metadata":{"abstract":"We argue that a connective element between the three domains, signs, logic and language, could be knowledge representation. This paper is an attempt to show that knowledge can be based on signs, that how knowledge emerges, that has a logical meaning, and that language is a representation of knowledge.","publication_date":{"day":null,"month":null,"year":2002,"errors":{}}},"translated_abstract":"We argue that a connective element between the three domains, signs, logic and language, could be knowledge representation. This paper is an attempt to show that knowledge can be based on signs, that how knowledge emerges, that has a logical meaning, and that language is a representation of knowledge.","internal_url":"https://www.academia.edu/79627932/On_the_isomorphism_of_signs_logic_and_language_A_novel_framework_for_language_modeling","translated_internal_url":"","created_at":"2022-05-22T00:06:30.926-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"On_the_isomorphism_of_signs_logic_and_language_A_novel_framework_for_language_modeling","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[],"research_interests":[{"id":924,"name":"Logic","url":"https://www.academia.edu/Documents/in/Logic"},{"id":6671,"name":"Syntax","url":"https://www.academia.edu/Documents/in/Syntax"},{"id":106761,"name":"Semiotic","url":"https://www.academia.edu/Documents/in/Semiotic"}],"urls":[{"id":20659410,"url":"http://www.cs.kun.nl/~janos/krdict.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="79627931"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/79627931/A_semiotically_oriented_cognitive_model_of_knowledge_representation"><img alt="Research paper thumbnail of A semiotically oriented cognitive model of knowledge representation" class="work-thumbnail" src="https://attachments.academia-assets.com/86277819/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/79627931/A_semiotically_oriented_cognitive_model_of_knowledge_representation">A semiotically oriented cognitive model of knowledge representation</a></div><div class="wp-workCard_item"><span>Communio Viatorum</span><span>, 2008</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This thesis introduces a model for knowledge representation as a sign recognition process, on the...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This thesis introduces a model for knowledge representation as a sign recognition process, on the basis of an analysis of the properties of cognitive activity. By offering a logical account of this model, the existence of a `naive&#39; logic underlying human information processing is revealed, which in turn opens the way towards a Peircean semiotic characterization of the cognitive model.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="aff86f324b1d2c94023a2771e680b3ec" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":86277819,"asset_id":79627931,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/86277819/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="79627931"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="79627931"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79627931; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79627931]").text(description); $(".js-view-count[data-work-id=79627931]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79627931; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79627931']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 79627931, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "aff86f324b1d2c94023a2771e680b3ec" } } $('.js-work-strip[data-work-id=79627931]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79627931,"title":"A semiotically oriented cognitive model of knowledge representation","translated_title":"","metadata":{"abstract":"This thesis introduces a model for knowledge representation as a sign recognition process, on the basis of an analysis of the properties of cognitive activity. By offering a logical account of this model, the existence of a `naive\u0026#39; logic underlying human information processing is revealed, which in turn opens the way towards a Peircean semiotic characterization of the cognitive model.","publication_date":{"day":null,"month":null,"year":2008,"errors":{}},"publication_name":"Communio Viatorum"},"translated_abstract":"This thesis introduces a model for knowledge representation as a sign recognition process, on the basis of an analysis of the properties of cognitive activity. By offering a logical account of this model, the existence of a `naive\u0026#39; logic underlying human information processing is revealed, which in turn opens the way towards a Peircean semiotic characterization of the cognitive model.","internal_url":"https://www.academia.edu/79627931/A_semiotically_oriented_cognitive_model_of_knowledge_representation","translated_internal_url":"","created_at":"2022-05-22T00:06:30.743-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":86277819,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86277819/thumbnails/1.jpg","file_name":"40165.pdf","download_url":"https://www.academia.edu/attachments/86277819/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_semiotically_oriented_cognitive_model.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86277819/40165-libre.pdf?1653204150=\u0026response-content-disposition=attachment%3B+filename%3DA_semiotically_oriented_cognitive_model.pdf\u0026Expires=1733338056\u0026Signature=WQGYw8PZPUMXvSL0OBpYqaP6-Qb-DmTe9KdQxxlyQhohEfkNXGAWwtGxo4JtNO-OEp7L1RDIzGN4JpvugR9nG7JkC28o-zRajIXFtuMMWPsw73eYKjYqkzdUSU6AMxMRJ-zhmz-z48JM4PlyvIHuV3uySTdE8uvgUC8omJ4LxnRauXqgiCYdN9DstfLd9t2oe5TvJd~Ylstkh6KUjN0-Qn2UFxZSniW6Wg5T~KcMnlFGhNw22cTg--E~nmhVlgtHRwyz1CgSlzR7BNbx4avITe90ZALNPQjvkInyYS-iNAK8SJvfCiApBDjCnu7hutmqYZBYnZNFmG0zFdZNLlUM2Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_semiotically_oriented_cognitive_model_of_knowledge_representation","translated_slug":"","page_count":210,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":86277819,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86277819/thumbnails/1.jpg","file_name":"40165.pdf","download_url":"https://www.academia.edu/attachments/86277819/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_semiotically_oriented_cognitive_model.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86277819/40165-libre.pdf?1653204150=\u0026response-content-disposition=attachment%3B+filename%3DA_semiotically_oriented_cognitive_model.pdf\u0026Expires=1733338056\u0026Signature=WQGYw8PZPUMXvSL0OBpYqaP6-Qb-DmTe9KdQxxlyQhohEfkNXGAWwtGxo4JtNO-OEp7L1RDIzGN4JpvugR9nG7JkC28o-zRajIXFtuMMWPsw73eYKjYqkzdUSU6AMxMRJ-zhmz-z48JM4PlyvIHuV3uySTdE8uvgUC8omJ4LxnRauXqgiCYdN9DstfLd9t2oe5TvJd~Ylstkh6KUjN0-Qn2UFxZSniW6Wg5T~KcMnlFGhNw22cTg--E~nmhVlgtHRwyz1CgSlzR7BNbx4avITe90ZALNPQjvkInyYS-iNAK8SJvfCiApBDjCnu7hutmqYZBYnZNFmG0zFdZNLlUM2Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":4212,"name":"Cognition","url":"https://www.academia.edu/Documents/in/Cognition"},{"id":22615,"name":"Knowledge Representation","url":"https://www.academia.edu/Documents/in/Knowledge_Representation"},{"id":39828,"name":"Human Information Processing","url":"https://www.academia.edu/Documents/in/Human_Information_Processing"},{"id":82270,"name":"Close relationships","url":"https://www.academia.edu/Documents/in/Close_relationships"},{"id":466816,"name":"Text Summarization","url":"https://www.academia.edu/Documents/in/Text_Summarization"},{"id":504701,"name":"Cognitive Model","url":"https://www.academia.edu/Documents/in/Cognitive_Model"},{"id":959544,"name":"Process Model","url":"https://www.academia.edu/Documents/in/Process_Model"},{"id":1763882,"name":"Representation Politics","url":"https://www.academia.edu/Documents/in/Representation_Politics"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="79627825"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/79627825/Towards_meaningful_information_processing_A_unifying_representation_for_Peirces_sign_types"><img alt="Research paper thumbnail of Towards meaningful information processing: A unifying representation for Peirce's sign types" class="work-thumbnail" src="https://attachments.academia-assets.com/86277784/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/79627825/Towards_meaningful_information_processing_A_unifying_representation_for_Peirces_sign_types">Towards meaningful information processing: A unifying representation for Peirce's sign types</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="285f05d01c2622a49c91761a31ebfb66" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":86277784,"asset_id":79627825,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/86277784/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="79627825"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="79627825"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79627825; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79627825]").text(description); $(".js-view-count[data-work-id=79627825]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79627825; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79627825']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 79627825, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "285f05d01c2622a49c91761a31ebfb66" } } $('.js-work-strip[data-work-id=79627825]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79627825,"title":"Towards meaningful information processing: A unifying representation for Peirce's sign types","translated_title":"","metadata":{"grobid_abstract":"An open problem in AI is the definition of meaningful information processing. That human interpretation and information processing by current computers can be different is well illustrated by Searle's famous Chinese room argument thought experiment. In this paper we suggest that an answer to the above open problem of AI can be given by introducing a model of information processing which is embedded in a Peircean theory of (meaningful) signs. Peirce's sign theory, that he systematically derived from his concept of a category, is seen by many as a theory of the knowable (the types of distinctions that can be signified by signs). We show that our model of information processing has the potential for representing three types of relation that are analogous to Peirce's three classifications of sign, consisting of 10, 28, and 66 elements.","publication_date":{"day":null,"month":null,"year":2013,"errors":{}},"grobid_abstract_attachment_id":86277784},"translated_abstract":null,"internal_url":"https://www.academia.edu/79627825/Towards_meaningful_information_processing_A_unifying_representation_for_Peirces_sign_types","translated_internal_url":"","created_at":"2022-05-22T00:05:24.034-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":86277784,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86277784/thumbnails/1.jpg","file_name":"122978.pdf","download_url":"https://www.academia.edu/attachments/86277784/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Towards_meaningful_information_processin.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86277784/122978-libre.pdf?1653203629=\u0026response-content-disposition=attachment%3B+filename%3DTowards_meaningful_information_processin.pdf\u0026Expires=1733338056\u0026Signature=cbaXKzlpL8SdB0UGUIuUD5YTIj~BJATCbZFA3NgzQc6zjQ8-SqmKawTZuMxY4-rrQcqBiufqhTi~RqNEoQzJugfnwtcipS04zl~6em8vZz1XKXIVo5kcbquVP0-OlRqHKF2UjR~BZgWISY3lu-RIVC3CKCs4ToUutTLS67VS7KEtOYNaXdtQK4lZCFlApYH9NKlRZoMOHfXefEQuCsPcmh9~1iJvwZgUaRoFiNFdl-3w7lCqn2tVC2H942w~e2aKdEv7uHcwtGNu1c~9AZsQ1429j8NAkmuwUZyBGHb67RdPjNvnExgsg1dG2Pq9etIc4VEinZt9dIqPoeOjy3Z65Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Towards_meaningful_information_processing_A_unifying_representation_for_Peirces_sign_types","translated_slug":"","page_count":33,"language":"en","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":86277784,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/86277784/thumbnails/1.jpg","file_name":"122978.pdf","download_url":"https://www.academia.edu/attachments/86277784/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Towards_meaningful_information_processin.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/86277784/122978-libre.pdf?1653203629=\u0026response-content-disposition=attachment%3B+filename%3DTowards_meaningful_information_processin.pdf\u0026Expires=1733338056\u0026Signature=cbaXKzlpL8SdB0UGUIuUD5YTIj~BJATCbZFA3NgzQc6zjQ8-SqmKawTZuMxY4-rrQcqBiufqhTi~RqNEoQzJugfnwtcipS04zl~6em8vZz1XKXIVo5kcbquVP0-OlRqHKF2UjR~BZgWISY3lu-RIVC3CKCs4ToUutTLS67VS7KEtOYNaXdtQK4lZCFlApYH9NKlRZoMOHfXefEQuCsPcmh9~1iJvwZgUaRoFiNFdl-3w7lCqn2tVC2H942w~e2aKdEv7uHcwtGNu1c~9AZsQ1429j8NAkmuwUZyBGHb67RdPjNvnExgsg1dG2Pq9etIc4VEinZt9dIqPoeOjy3Z65Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":4398,"name":"Peirce","url":"https://www.academia.edu/Documents/in/Peirce"},{"id":36837,"name":"Information Processing","url":"https://www.academia.edu/Documents/in/Information_Processing"},{"id":39828,"name":"Human Information Processing","url":"https://www.academia.edu/Documents/in/Human_Information_Processing"},{"id":48999,"name":"Information","url":"https://www.academia.edu/Documents/in/Information"},{"id":56262,"name":"Searle","url":"https://www.academia.edu/Documents/in/Searle"},{"id":254548,"name":"Sign theory","url":"https://www.academia.edu/Documents/in/Sign_theory"},{"id":959544,"name":"Process Model","url":"https://www.academia.edu/Documents/in/Process_Model"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="40365300"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/40365300/V%C3%A1laszt%C3%A1si_%C3%A1mokfut%C3%A1s"><img alt="Research paper thumbnail of Választási ámokfutás" class="work-thumbnail" src="https://attachments.academia-assets.com/60612299/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/40365300/V%C3%A1laszt%C3%A1si_%C3%A1mokfut%C3%A1s">Választási ámokfutás</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Olybá tűnhet, hogy a túlon is túlról kezdem a mondandóm lényegnek kibontását, mégis úgy vélem, ho...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Olybá tűnhet, hogy a túlon is túlról kezdem a mondandóm lényegnek kibontását, mégis úgy vélem, hogy a teljes megértéshez minden apró részlet szükséges. Mert helyes döntés csak akkor születhet, ha a témával kapcsolatos minden információ a rendelkezésre áll. Ha netán mégis maradna hiányérzet, nos, akkor az aktuális megmondók hablatyára figyelve talán tisztább kép alakul ki. Egy szállóige szerint két fél kapcsolatában az egyik mindig domináns. Következmény: Az egyik fél érvrendszere vagy fizikai ereje uralja a másikat. A gond az, hogy az uralom olvasatából többnyire hiányzik az uralt óhaja. Vajh' a dominancia mennyire illeszthető napjaink harsányan hangoztatott demokráciájába? Mégis mire alapozva kívánják a bizalmi alapokon tartani uradalmukat azok, akik immáron sokadszorra tévesztik meg a joghatásuk alá kényszerített közösségeket? A történészek, a kultúra-antropológusok, a régészek meg a néprajzosok szerint, az emberiség hajnalán-már ha volt egyáltalán ilyen hajnal-valószínűleg anyajogú közösségek alakultak ki. Most azon rágódnak, hogy mi volt az oka a nőuralmi irányítási rendszer felbomlásának és honnan ered a gonoszság "női eredetének" sulykolása, erre nézve kevés Ádám Kadmon első feleségének "démonszülővé" süllyesztése, vagy a második feleség almás trükkjének kiagyalása, de Pandóra szelencéjének meséje sem igazolja a női minőség agyagba döngölését, a férfijogú társadalmi rendszerek megkérdőjelezhetetlen uralmának mákvirágba borulását. Egy kicsit pontosabban fogalmazva; Azt feltételezzük, hogy a matriarchális közösségekben az erő és a szellem vezérlő elve jól megfért egymás mellett, kiegészítve a társ hatékonyságát. Időnként az is előfordulhatott, hogy a két hatáscentrumot egyetlen személy egyesíthette önmagában, ha a jeles egy-én képességeit a közösség elfogadta, elismerte. A szellemi vezető tudta a csillagok járását, jövendőt mondott és gyógyítóként tevékenykedett a csoport életében. Brit kutatónők szerint az erő hatalma a nagyállat tenyésztés elterjedésével-ahol inkább az erőre volt szükség-kerültek a nők egyre inkább háttérbe, amivel a hím sokkal inkább vezető szerephez juthatott. Ez lassan odáig vezetett, hogy a férfi fokozatosan magához vonta a vezetői posztot. Előbb csak meghatározta a közösségi munkamegosztást a hatékonyság hangsúlyozásával, majd a szellemi fölényt különféle vallásos hiedelmek, legendák kieszelésével, és a kitalációk megfelelő felhasználásával formálta az egész közösség valóságról kialakult képét. Saját érdekei mentén magyarázta, mi miért történik, és jó vagy rossz szándékú manipulációk segítségével elérte azt, hogy az alárendeltek kivétel nélkül az ő célkitűzéseit vigyék véghez. Trükkjei eszenciáját utódainak, mikor pedig egyre nőtt a közösség lélekszáma, akkor egy szűkebb, a vérségi rokonságába tartozó csoportosulásnak adta tovább. Most ugorjunk egy kicsinyég… Gondolt már arra, hogy miért adnak ki az embereknek születési anyakönyvi kivonatot? Mert miért lenne bárkinek is szüksége ilyen dokumentumra? Az egyén megjelenése ott és akkor nem elég bizonyíték arra, hogy ő valamikor, valahol valóban megszületett? A születési anyakönyvi kivonatok kiállításának valódi oka szemnyitogató hatással van arra, hogy milyen mértékben korlátos a nép döntési joga. Annak érdekében, hogy megértsük, mi az igazi célja egy születési anyakönyvi kivonat kötelező kiállíttatásának ténylegesen, muszáj beszélni egy kicsit a tengerészeti törvényről (Meritime Admirality</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="22dc166ad718b9b44785e4c2887d169e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":60612299,"asset_id":40365300,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/60612299/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="40365300"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="40365300"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 40365300; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=40365300]").text(description); $(".js-view-count[data-work-id=40365300]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 40365300; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='40365300']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 40365300, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "22dc166ad718b9b44785e4c2887d169e" } } $('.js-work-strip[data-work-id=40365300]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":40365300,"title":"Választási ámokfutás","translated_title":"","metadata":{"abstract":"Olybá tűnhet, hogy a túlon is túlról kezdem a mondandóm lényegnek kibontását, mégis úgy vélem, hogy a teljes megértéshez minden apró részlet szükséges. Mert helyes döntés csak akkor születhet, ha a témával kapcsolatos minden információ a rendelkezésre áll. Ha netán mégis maradna hiányérzet, nos, akkor az aktuális megmondók hablatyára figyelve talán tisztább kép alakul ki. Egy szállóige szerint két fél kapcsolatában az egyik mindig domináns. Következmény: Az egyik fél érvrendszere vagy fizikai ereje uralja a másikat. A gond az, hogy az uralom olvasatából többnyire hiányzik az uralt óhaja. Vajh' a dominancia mennyire illeszthető napjaink harsányan hangoztatott demokráciájába? Mégis mire alapozva kívánják a bizalmi alapokon tartani uradalmukat azok, akik immáron sokadszorra tévesztik meg a joghatásuk alá kényszerített közösségeket? A történészek, a kultúra-antropológusok, a régészek meg a néprajzosok szerint, az emberiség hajnalán-már ha volt egyáltalán ilyen hajnal-valószínűleg anyajogú közösségek alakultak ki. Most azon rágódnak, hogy mi volt az oka a nőuralmi irányítási rendszer felbomlásának és honnan ered a gonoszság \"női eredetének\" sulykolása, erre nézve kevés Ádám Kadmon első feleségének \"démonszülővé\" süllyesztése, vagy a második feleség almás trükkjének kiagyalása, de Pandóra szelencéjének meséje sem igazolja a női minőség agyagba döngölését, a férfijogú társadalmi rendszerek megkérdőjelezhetetlen uralmának mákvirágba borulását. Egy kicsit pontosabban fogalmazva; Azt feltételezzük, hogy a matriarchális közösségekben az erő és a szellem vezérlő elve jól megfért egymás mellett, kiegészítve a társ hatékonyságát. Időnként az is előfordulhatott, hogy a két hatáscentrumot egyetlen személy egyesíthette önmagában, ha a jeles egy-én képességeit a közösség elfogadta, elismerte. A szellemi vezető tudta a csillagok járását, jövendőt mondott és gyógyítóként tevékenykedett a csoport életében. Brit kutatónők szerint az erő hatalma a nagyállat tenyésztés elterjedésével-ahol inkább az erőre volt szükség-kerültek a nők egyre inkább háttérbe, amivel a hím sokkal inkább vezető szerephez juthatott. Ez lassan odáig vezetett, hogy a férfi fokozatosan magához vonta a vezetői posztot. Előbb csak meghatározta a közösségi munkamegosztást a hatékonyság hangsúlyozásával, majd a szellemi fölényt különféle vallásos hiedelmek, legendák kieszelésével, és a kitalációk megfelelő felhasználásával formálta az egész közösség valóságról kialakult képét. Saját érdekei mentén magyarázta, mi miért történik, és jó vagy rossz szándékú manipulációk segítségével elérte azt, hogy az alárendeltek kivétel nélkül az ő célkitűzéseit vigyék véghez. Trükkjei eszenciáját utódainak, mikor pedig egyre nőtt a közösség lélekszáma, akkor egy szűkebb, a vérségi rokonságába tartozó csoportosulásnak adta tovább. Most ugorjunk egy kicsinyég… Gondolt már arra, hogy miért adnak ki az embereknek születési anyakönyvi kivonatot? Mert miért lenne bárkinek is szüksége ilyen dokumentumra? Az egyén megjelenése ott és akkor nem elég bizonyíték arra, hogy ő valamikor, valahol valóban megszületett? A születési anyakönyvi kivonatok kiállításának valódi oka szemnyitogató hatással van arra, hogy milyen mértékben korlátos a nép döntési joga. Annak érdekében, hogy megértsük, mi az igazi célja egy születési anyakönyvi kivonat kötelező kiállíttatásának ténylegesen, muszáj beszélni egy kicsit a tengerészeti törvényről (Meritime Admirality"},"translated_abstract":"Olybá tűnhet, hogy a túlon is túlról kezdem a mondandóm lényegnek kibontását, mégis úgy vélem, hogy a teljes megértéshez minden apró részlet szükséges. Mert helyes döntés csak akkor születhet, ha a témával kapcsolatos minden információ a rendelkezésre áll. Ha netán mégis maradna hiányérzet, nos, akkor az aktuális megmondók hablatyára figyelve talán tisztább kép alakul ki. Egy szállóige szerint két fél kapcsolatában az egyik mindig domináns. Következmény: Az egyik fél érvrendszere vagy fizikai ereje uralja a másikat. A gond az, hogy az uralom olvasatából többnyire hiányzik az uralt óhaja. Vajh' a dominancia mennyire illeszthető napjaink harsányan hangoztatott demokráciájába? Mégis mire alapozva kívánják a bizalmi alapokon tartani uradalmukat azok, akik immáron sokadszorra tévesztik meg a joghatásuk alá kényszerített közösségeket? A történészek, a kultúra-antropológusok, a régészek meg a néprajzosok szerint, az emberiség hajnalán-már ha volt egyáltalán ilyen hajnal-valószínűleg anyajogú közösségek alakultak ki. Most azon rágódnak, hogy mi volt az oka a nőuralmi irányítási rendszer felbomlásának és honnan ered a gonoszság \"női eredetének\" sulykolása, erre nézve kevés Ádám Kadmon első feleségének \"démonszülővé\" süllyesztése, vagy a második feleség almás trükkjének kiagyalása, de Pandóra szelencéjének meséje sem igazolja a női minőség agyagba döngölését, a férfijogú társadalmi rendszerek megkérdőjelezhetetlen uralmának mákvirágba borulását. Egy kicsit pontosabban fogalmazva; Azt feltételezzük, hogy a matriarchális közösségekben az erő és a szellem vezérlő elve jól megfért egymás mellett, kiegészítve a társ hatékonyságát. Időnként az is előfordulhatott, hogy a két hatáscentrumot egyetlen személy egyesíthette önmagában, ha a jeles egy-én képességeit a közösség elfogadta, elismerte. A szellemi vezető tudta a csillagok járását, jövendőt mondott és gyógyítóként tevékenykedett a csoport életében. Brit kutatónők szerint az erő hatalma a nagyállat tenyésztés elterjedésével-ahol inkább az erőre volt szükség-kerültek a nők egyre inkább háttérbe, amivel a hím sokkal inkább vezető szerephez juthatott. Ez lassan odáig vezetett, hogy a férfi fokozatosan magához vonta a vezetői posztot. Előbb csak meghatározta a közösségi munkamegosztást a hatékonyság hangsúlyozásával, majd a szellemi fölényt különféle vallásos hiedelmek, legendák kieszelésével, és a kitalációk megfelelő felhasználásával formálta az egész közösség valóságról kialakult képét. Saját érdekei mentén magyarázta, mi miért történik, és jó vagy rossz szándékú manipulációk segítségével elérte azt, hogy az alárendeltek kivétel nélkül az ő célkitűzéseit vigyék véghez. Trükkjei eszenciáját utódainak, mikor pedig egyre nőtt a közösség lélekszáma, akkor egy szűkebb, a vérségi rokonságába tartozó csoportosulásnak adta tovább. Most ugorjunk egy kicsinyég… Gondolt már arra, hogy miért adnak ki az embereknek születési anyakönyvi kivonatot? Mert miért lenne bárkinek is szüksége ilyen dokumentumra? Az egyén megjelenése ott és akkor nem elég bizonyíték arra, hogy ő valamikor, valahol valóban megszületett? A születési anyakönyvi kivonatok kiállításának valódi oka szemnyitogató hatással van arra, hogy milyen mértékben korlátos a nép döntési joga. Annak érdekében, hogy megértsük, mi az igazi célja egy születési anyakönyvi kivonat kötelező kiállíttatásának ténylegesen, muszáj beszélni egy kicsit a tengerészeti törvényről (Meritime Admirality","internal_url":"https://www.academia.edu/40365300/V%C3%A1laszt%C3%A1si_%C3%A1mokfut%C3%A1s","translated_internal_url":"","created_at":"2019-09-16T05:54:28.283-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":65583089,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":60612299,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/60612299/thumbnails/1.jpg","file_name":"Valasztasi_amokfutas20190916-25459-1bbiddn.pdf","download_url":"https://www.academia.edu/attachments/60612299/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Valasztasi_amokfutas.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/60612299/Valasztasi_amokfutas20190916-25459-1bbiddn-libre.pdf?1568639089=\u0026response-content-disposition=attachment%3B+filename%3DValasztasi_amokfutas.pdf\u0026Expires=1733338056\u0026Signature=IPTdFASESxl3ij9t6b48OMX1vSyfb2RfoOSz~szbeJALsFEUkJh~gEOacUynN0lwaQrazcrpbySbKUyUSGS-TSkbPlxDTgPvGyLwJ3fJWHWy3AnMhb4CZJK-YThn1xzROu0TluNP4WJfkWpe-uXcETPvKZnJac~zJFXfz0z-PRNju1Xk27s2LLDqItqGsoMnvGT3Dbz~dCVGYMdLPVTlaxpxNCZevxDSPWIB-zVYxVi68L9hLeHqIeS8twFPxQnjzFfkUpi6o-9YKxzUoVj7jVGDjqysnFWfgmHJ5oP5v-mIo2rNApiV7dUxj2kJE8AkjvosS3zmeOprhNG~B9xQ9A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Választási_ámokfutás","translated_slug":"","page_count":6,"language":"hu","content_type":"Work","owner":{"id":65583089,"first_name":"István József","middle_initials":"","last_name":"Farkas","page_name":"IstvánJózsefFarkas","domain_name":"independent","created_at":"2017-06-15T22:47:38.601-07:00","display_name":"István József Farkas","url":"https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas"},"attachments":[{"id":60612299,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/60612299/thumbnails/1.jpg","file_name":"Valasztasi_amokfutas20190916-25459-1bbiddn.pdf","download_url":"https://www.academia.edu/attachments/60612299/download_file?st=MTczMzM0NzQwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Valasztasi_amokfutas.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/60612299/Valasztasi_amokfutas20190916-25459-1bbiddn-libre.pdf?1568639089=\u0026response-content-disposition=attachment%3B+filename%3DValasztasi_amokfutas.pdf\u0026Expires=1733338056\u0026Signature=IPTdFASESxl3ij9t6b48OMX1vSyfb2RfoOSz~szbeJALsFEUkJh~gEOacUynN0lwaQrazcrpbySbKUyUSGS-TSkbPlxDTgPvGyLwJ3fJWHWy3AnMhb4CZJK-YThn1xzROu0TluNP4WJfkWpe-uXcETPvKZnJac~zJFXfz0z-PRNju1Xk27s2LLDqItqGsoMnvGT3Dbz~dCVGYMdLPVTlaxpxNCZevxDSPWIB-zVYxVi68L9hLeHqIeS8twFPxQnjzFfkUpi6o-9YKxzUoVj7jVGDjqysnFWfgmHJ5oP5v-mIo2rNApiV7dUxj2kJE8AkjvosS3zmeOprhNG~B9xQ9A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/google_contacts-0dfb882d836b94dbcb4a2d123d6933fc9533eda5be911641f20b4eb428429600.js"], function() { // from javascript_helper.rb $('.js-google-connect-button').click(function(e) { e.preventDefault(); GoogleContacts.authorize_and_show_contacts(); Aedu.Dismissibles.recordClickthrough("WowProfileImportContactsPrompt"); }); $('.js-update-biography-button').click(function(e) { e.preventDefault(); Aedu.Dismissibles.recordClickthrough("UpdateUserBiographyPrompt"); $.ajax({ url: $r.api_v0_profiles_update_about_path({ subdomain_param: 'api', about: "", }), type: 'PUT', success: function(response) { location.reload(); } }); }); $('.js-work-creator-button').click(function (e) { e.preventDefault(); window.location = $r.upload_funnel_document_path({ source: encodeURIComponent(""), }); }); $('.js-video-upload-button').click(function (e) { e.preventDefault(); window.location = $r.upload_funnel_video_path({ source: encodeURIComponent(""), }); }); $('.js-do-this-later-button').click(function() { $(this).closest('.js-profile-nag-panel').remove(); Aedu.Dismissibles.recordDismissal("WowProfileImportContactsPrompt"); }); $('.js-update-biography-do-this-later-button').click(function(){ $(this).closest('.js-profile-nag-panel').remove(); Aedu.Dismissibles.recordDismissal("UpdateUserBiographyPrompt"); }); $('.wow-profile-mentions-upsell--close').click(function(){ $('.wow-profile-mentions-upsell--panel').hide(); Aedu.Dismissibles.recordDismissal("WowProfileMentionsUpsell"); }); $('.wow-profile-mentions-upsell--button').click(function(){ Aedu.Dismissibles.recordClickthrough("WowProfileMentionsUpsell"); }); new WowProfile.SocialRedesignUserWorks({ initialWorksOffset: 20, allWorksOffset: 20, maxSections: 2 }) }); </script> </div></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile_edit-5ea339ee107c863779f560dd7275595239fed73f1a13d279d2b599a28c0ecd33.js","https://a.academia-assets.com/assets/add_coauthor-22174b608f9cb871d03443cafa7feac496fb50d7df2d66a53f5ee3c04ba67f53.js","https://a.academia-assets.com/assets/tab-dcac0130902f0cc2d8cb403714dd47454f11fc6fb0e99ae6a0827b06613abc20.js","https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js"], function() { // from javascript_helper.rb window.ae = window.ae || {}; window.ae.WowProfile = window.ae.WowProfile || {}; if(Aedu.User.current && Aedu.User.current.id === $viewedUser.id) { window.ae.WowProfile.current_user_edit = {}; new WowProfileEdit.EditUploadView({ el: '.js-edit-upload-button-wrapper', model: window.$current_user, }); new AddCoauthor.AddCoauthorsController(); } var userInfoView = new WowProfile.SocialRedesignUserInfo({ recaptcha_key: "6LdxlRMTAAAAADnu_zyLhLg0YF9uACwz78shpjJB" }); WowProfile.router = new WowProfile.Router({ userInfoView: userInfoView }); Backbone.history.start({ pushState: true, root: "/" + $viewedUser.page_name }); new WowProfile.UserWorksNav() }); </script> </div> <div class="bootstrap login"><div class="modal fade login-modal" id="login-modal"><div class="login-modal-dialog modal-dialog"><div class="modal-content"><div class="modal-header"><button class="close close" data-dismiss="modal" type="button"><span aria-hidden="true">×</span><span class="sr-only">Close</span></button><h4 class="modal-title text-center"><strong>Log In</strong></h4></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><button class="btn btn-fb btn-lg btn-block btn-v-center-content" id="login-facebook-oauth-button"><svg style="float: left; width: 19px; line-height: 1em; margin-right: .3em;" aria-hidden="true" focusable="false" data-prefix="fab" data-icon="facebook-square" class="svg-inline--fa fa-facebook-square fa-w-14" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M400 32H48A48 48 0 0 0 0 80v352a48 48 0 0 0 48 48h137.25V327.69h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.27c-30.81 0-40.42 19.12-40.42 38.73V256h68.78l-11 71.69h-57.78V480H400a48 48 0 0 0 48-48V80a48 48 0 0 0-48-48z"></path></svg><small><strong>Log in</strong> with <strong>Facebook</strong></small></button><br /><button class="btn btn-google btn-lg btn-block btn-v-center-content" id="login-google-oauth-button"><svg style="float: left; width: 22px; line-height: 1em; margin-right: .3em;" aria-hidden="true" focusable="false" data-prefix="fab" data-icon="google-plus" class="svg-inline--fa fa-google-plus fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M256,8C119.1,8,8,119.1,8,256S119.1,504,256,504,504,392.9,504,256,392.9,8,256,8ZM185.3,380a124,124,0,0,1,0-248c31.3,0,60.1,11,83,32.3l-33.6,32.6c-13.2-12.9-31.3-19.1-49.4-19.1-42.9,0-77.2,35.5-77.2,78.1S142.3,334,185.3,334c32.6,0,64.9-19.1,70.1-53.3H185.3V238.1H302.2a109.2,109.2,0,0,1,1.9,20.7c0,70.8-47.5,121.2-118.8,121.2ZM415.5,273.8v35.5H380V273.8H344.5V238.3H380V202.8h35.5v35.5h35.2v35.5Z"></path></svg><small><strong>Log in</strong> with <strong>Google</strong></small></button><br /><style type="text/css">.sign-in-with-apple-button { width: 100%; height: 52px; border-radius: 3px; border: 1px solid black; cursor: pointer; }</style><script src="https://appleid.cdn-apple.com/appleauth/static/jsapi/appleid/1/en_US/appleid.auth.js" type="text/javascript"></script><div class="sign-in-with-apple-button" data-border="false" data-color="white" id="appleid-signin"><span   ="Sign Up with Apple" class="u-fs11"></span></div><script>AppleID.auth.init({ clientId: 'edu.academia.applesignon', scope: 'name email', redirectURI: 'https://www.academia.edu/sessions', state: "578112b7c50088e20ada236c1268fb49611f491c812439c79a7c2785e51f4c59", });</script><script>// Hacky way of checking if on fast loswp if (window.loswp == null) { (function() { const Google = window?.Aedu?.Auth?.OauthButton?.Login?.Google; const Facebook = window?.Aedu?.Auth?.OauthButton?.Login?.Facebook; if (Google) { new Google({ el: '#login-google-oauth-button', rememberMeCheckboxId: 'remember_me', track: null }); } if (Facebook) { new Facebook({ el: '#login-facebook-oauth-button', rememberMeCheckboxId: 'remember_me', track: null }); } })(); }</script></div></div></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><div class="hr-heading login-hr-heading"><span class="hr-heading-text">or</span></div></div></div></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><form class="js-login-form" action="https://www.academia.edu/sessions" accept-charset="UTF-8" method="post"><input name="utf8" type="hidden" value="✓" autocomplete="off" /><input type="hidden" name="authenticity_token" value="znAmC1Jhn2XQUdCmr3mYzglkNy4okMQMpmBVbbib/XTvsYJn0cyBeVWA1Uf/+KfH6JvLpD2yrrIGoQlFYb7a0w==" autocomplete="off" /><div class="form-group"><label class="control-label" for="login-modal-email-input" style="font-size: 14px;">Email</label><input class="form-control" id="login-modal-email-input" name="login" type="email" /></div><div class="form-group"><label class="control-label" for="login-modal-password-input" style="font-size: 14px;">Password</label><input class="form-control" id="login-modal-password-input" name="password" type="password" /></div><input type="hidden" name="post_login_redirect_url" id="post_login_redirect_url" value="https://independent.academia.edu/Istv%C3%A1nJ%C3%B3zsefFarkas" autocomplete="off" /><div class="checkbox"><label><input type="checkbox" name="remember_me" id="remember_me" value="1" checked="checked" /><small style="font-size: 12px; margin-top: 2px; display: inline-block;">Remember me on this computer</small></label></div><br><input type="submit" name="commit" value="Log In" class="btn btn-primary btn-block btn-lg js-login-submit" data-disable-with="Log In" /></br></form><script>typeof window?.Aedu?.recaptchaManagedForm === 'function' && window.Aedu.recaptchaManagedForm( document.querySelector('.js-login-form'), document.querySelector('.js-login-submit') );</script><small style="font-size: 12px;"><br />or <a data-target="#login-modal-reset-password-container" data-toggle="collapse" href="javascript:void(0)">reset password</a></small><div class="collapse" id="login-modal-reset-password-container"><br /><div class="well margin-0x"><form class="js-password-reset-form" action="https://www.academia.edu/reset_password" accept-charset="UTF-8" method="post"><input name="utf8" type="hidden" value="✓" autocomplete="off" /><input type="hidden" name="authenticity_token" value="gnRH2ZY8aZ+u6vG5CWN0h7KgSEDHR+9xR2DS7JkrVvejteO1FZF3gys79FhZ4kuOU1+0ytJlhc/noY7EQA5xUA==" autocomplete="off" /><p>Enter the email address you signed up with and we'll email you a reset link.</p><div class="form-group"><input class="form-control" name="email" type="email" /></div><script src="https://recaptcha.net/recaptcha/api.js" async defer></script> <script> var invisibleRecaptchaSubmit = function () { var closestForm = function (ele) { var curEle = ele.parentNode; while (curEle.nodeName !== 'FORM' && curEle.nodeName !== 'BODY'){ curEle = curEle.parentNode; } return curEle.nodeName === 'FORM' ? curEle : null }; var eles = document.getElementsByClassName('g-recaptcha'); if (eles.length > 0) { var form = closestForm(eles[0]); if (form) { form.submit(); } } }; </script> <input type="submit" data-sitekey="6Lf3KHUUAAAAACggoMpmGJdQDtiyrjVlvGJ6BbAj" data-callback="invisibleRecaptchaSubmit" class="g-recaptcha btn btn-primary btn-block" value="Email me a link" value=""/> </form></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/collapse-45805421cf446ca5adf7aaa1935b08a3a8d1d9a6cc5d91a62a2a3a00b20b3e6a.js"], function() { // from javascript_helper.rb $("#login-modal-reset-password-container").on("shown.bs.collapse", function() { $(this).find("input[type=email]").focus(); }); }); </script> </div></div></div><div class="modal-footer"><div class="text-center"><small style="font-size: 12px;">Need an account? <a rel="nofollow" href="https://www.academia.edu/signup">Click here to sign up</a></small></div></div></div></div></div></div><script>// If we are on subdomain or non-bootstrapped page, redirect to login page instead of showing modal (function(){ if (typeof $ === 'undefined') return; var host = window.location.hostname; if ((host === $domain || host === "www."+$domain) && (typeof $().modal === 'function')) { $("#nav_log_in").click(function(e) { // Don't follow the link and open the modal e.preventDefault(); $("#login-modal").on('shown.bs.modal', function() { $(this).find("#login-modal-email-input").focus() }).modal('show'); }); } })()</script> <div class="bootstrap" id="footer"><div class="footer-content clearfix text-center padding-top-7x" style="width:100%;"><ul class="footer-links-secondary footer-links-wide list-inline margin-bottom-1x"><li><a href="https://www.academia.edu/about">About</a></li><li><a href="https://www.academia.edu/press">Press</a></li><li><a rel="nofollow" href="https://medium.com/academia">Blog</a></li><li><a href="https://www.academia.edu/documents">Papers</a></li><li><a href="https://www.academia.edu/topics">Topics</a></li><li><a href="https://www.academia.edu/journals">Academia.edu Journals</a></li><li><a rel="nofollow" href="https://www.academia.edu/hiring"><svg style="width: 13px; height: 13px;" aria-hidden="true" focusable="false" data-prefix="fas" data-icon="briefcase" class="svg-inline--fa fa-briefcase fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M320 336c0 8.84-7.16 16-16 16h-96c-8.84 0-16-7.16-16-16v-48H0v144c0 25.6 22.4 48 48 48h416c25.6 0 48-22.4 48-48V288H320v48zm144-208h-80V80c0-25.6-22.4-48-48-48H176c-25.6 0-48 22.4-48 48v48H48c-25.6 0-48 22.4-48 48v80h512v-80c0-25.6-22.4-48-48-48zm-144 0H192V96h128v32z"></path></svg> <strong>We're Hiring!</strong></a></li><li><a rel="nofollow" href="https://support.academia.edu/"><svg style="width: 12px; height: 12px;" aria-hidden="true" focusable="false" data-prefix="fas" data-icon="question-circle" class="svg-inline--fa fa-question-circle fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M504 256c0 136.997-111.043 248-248 248S8 392.997 8 256C8 119.083 119.043 8 256 8s248 111.083 248 248zM262.655 90c-54.497 0-89.255 22.957-116.549 63.758-3.536 5.286-2.353 12.415 2.715 16.258l34.699 26.31c5.205 3.947 12.621 3.008 16.665-2.122 17.864-22.658 30.113-35.797 57.303-35.797 20.429 0 45.698 13.148 45.698 32.958 0 14.976-12.363 22.667-32.534 33.976C247.128 238.528 216 254.941 216 296v4c0 6.627 5.373 12 12 12h56c6.627 0 12-5.373 12-12v-1.333c0-28.462 83.186-29.647 83.186-106.667 0-58.002-60.165-102-116.531-102zM256 338c-25.365 0-46 20.635-46 46 0 25.364 20.635 46 46 46s46-20.636 46-46c0-25.365-20.635-46-46-46z"></path></svg> <strong>Help Center</strong></a></li></ul><ul class="footer-links-tertiary list-inline margin-bottom-1x"><li class="small">Find new research papers in:</li><li class="small"><a href="https://www.academia.edu/Documents/in/Physics">Physics</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Chemistry">Chemistry</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Biology">Biology</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Health_Sciences">Health Sciences</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Ecology">Ecology</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Earth_Sciences">Earth Sciences</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Cognitive_Science">Cognitive Science</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Mathematics">Mathematics</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a></li></ul></div></div><div class="DesignSystem" id="credit" style="width:100%;"><ul class="u-pl0x footer-links-legal list-inline"><li><a rel="nofollow" href="https://www.academia.edu/terms">Terms</a></li><li><a rel="nofollow" href="https://www.academia.edu/privacy">Privacy</a></li><li><a rel="nofollow" href="https://www.academia.edu/copyright">Copyright</a></li><li>Academia ©2024</li></ul></div><script> //<![CDATA[ window.detect_gmtoffset = true; window.Academia && window.Academia.set_gmtoffset && Academia.set_gmtoffset('/gmtoffset'); //]]> </script> <div id='overlay_background'></div> <div id='bootstrap-modal-container' class='bootstrap'></div> <div id='ds-modal-container' class='bootstrap DesignSystem'></div> <div id='full-screen-modal'></div> </div> </body> </html>