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class="label">Followers</p><p class="data">14</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">9</p></div></a><a><div class="stat-container js-profile-coauthors" data-broccoli-component="user-info.coauthors-count" data-click-track="profile-expand-user-info-coauthors"><p class="label">Co-authors</p><p class="data">7</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="33409838" href="https://www.academia.edu/Documents/in/Dental_Implantology"><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://independent.academia.edu/Spyropoulos?swp=tc-au-118655684","location":"/Spyropoulos?swp=tc-au-118655684","scheme":"https","host":"independent.academia.edu","port":null,"pathname":"/Spyropoulos","search":"swp=tc-au-118655684","httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Dental Implantology"]}" data-trace="false" data-dom-id="Pill-react-component-36d645e4-439f-46ef-8165-bb944c75eab9"></div> <div id="Pill-react-component-36d645e4-439f-46ef-8165-bb944c75eab9"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="33409838" href="https://www.academia.edu/Documents/in/Diffusion_Tensor_Imaging"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Diffusion Tensor Imaging"]}" data-trace="false" data-dom-id="Pill-react-component-0f635340-7a2d-486e-8000-a3c14efa652c"></div> <div id="Pill-react-component-0f635340-7a2d-486e-8000-a3c14efa652c"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="33409838" href="https://www.academia.edu/Documents/in/Dentistry_and_Orthodontics"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Dentistry and Orthodontics"]}" data-trace="false" data-dom-id="Pill-react-component-b60e5e95-8b89-461a-bf0d-ba7da9160425"></div> <div id="Pill-react-component-b60e5e95-8b89-461a-bf0d-ba7da9160425"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="33409838" href="https://www.academia.edu/Documents/in/Orthodontics"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Orthodontics"]}" data-trace="false" data-dom-id="Pill-react-component-97f93bcf-5d71-4c0f-9df6-e0096b4978ac"></div> <div id="Pill-react-component-97f93bcf-5d71-4c0f-9df6-e0096b4978ac"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="33409838" href="https://www.academia.edu/Documents/in/Reconstruction"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Reconstruction"]}" data-trace="false" data-dom-id="Pill-react-component-8a0118f7-1c06-40ba-bd63-853741c571e6"></div> <div id="Pill-react-component-8a0118f7-1c06-40ba-bd63-853741c571e6"></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="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="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by C. Spyropoulos</h3></div><div class="js-work-strip profile--work_container" data-work-id="118655684"><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/118655684/The_use_of_terminological_knowledge_bases_in_software_localisation"><img alt="Research paper thumbnail of The use of terminological knowledge bases in software localisation" 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/118655684/The_use_of_terminological_knowledge_bases_in_software_localisation">The use of terminological knowledge bases in software localisation</a></div><div class="wp-workCard_item"><span>Lecture Notes in Computer Science</span><span>, 1995</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT</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="118655684"><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="118655684"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118655684; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118655684]").text(description); $(".js-view-count[data-work-id=118655684]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118655684; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118655684']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 118655684, 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" } } $('.js-work-strip[data-work-id=118655684]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118655684,"title":"The use of terminological knowledge bases in software localisation","translated_title":"","metadata":{"abstract":"ABSTRACT","publication_date":{"day":null,"month":null,"year":1995,"errors":{}},"publication_name":"Lecture Notes in Computer Science"},"translated_abstract":"ABSTRACT","internal_url":"https://www.academia.edu/118655684/The_use_of_terminological_knowledge_bases_in_software_localisation","translated_internal_url":"","created_at":"2024-05-06T13:05:56.276-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33409838,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"The_use_of_terminological_knowledge_bases_in_software_localisation","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":33409838,"first_name":"C.","middle_initials":null,"last_name":"Spyropoulos","page_name":"Spyropoulos","domain_name":"independent","created_at":"2015-07-28T11:42:54.141-07:00","display_name":"C. 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In many appli...</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">Computerised information systems tend to become more sophisticated and complicated. In many application domains, information systems must manage data that change over time, or data that reflect the use of temporal attributes. For these reasons the domain of temporal databases is an active research field. In this paper we present TGDB, a framework for developing temporal database systems that manage both valid and transaction time as well as any kind of user defined time. TGDB offers to the user a relational-like view of the tables and fields, but it is not based on the relational model. Instead it is based on the TGS graph system for time management. TGS combines a very good performance with temporal data management independent from application or domain. The query language of TGDB is an extension of SQL.</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="118655683"><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="118655683"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118655683; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118655683]").text(description); $(".js-view-count[data-work-id=118655683]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118655683; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118655683']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 118655683, 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" } } $('.js-work-strip[data-work-id=118655683]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118655683,"title":"A framework for developing temporal databases","translated_title":"","metadata":{"abstract":"Computerised information systems tend to become more sophisticated and complicated. 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Because these vessels have a complicated layout of a large number of tanks and they transport dangerous cargos, currently, their loading is carried out using commercially available computer codes, called loadmasters. The loadmasters estimate the ship stresses and the</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="118655682"><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="118655682"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118655682; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118655682]").text(description); $(".js-view-count[data-work-id=118655682]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118655682; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118655682']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 118655682, 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" } } $('.js-work-strip[data-work-id=118655682]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118655682,"title":"An expert loading system for chemical and product carriers","translated_title":"","metadata":{"abstract":"Chemical and Product Carriers (CPC) are ships carrying at a single voyage a variety of liquefied chemical and oil product cargos. 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Th...</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">Patient tests in hospital environments involve a significant percentage of hospital resources. The patient must occupy some of his/her time, personnel and equipment have to be allocated, co-operation between hospital laboratories and departments must be ensured, tests should be performed within rigid time limits and the results should be ready before due times imposed by doctors, nurses or other medical personnel. From the patient&amp;#39;s point of view there must be almost no distress, while hospital management wants as much equipment utilization as possible. In the present paper we propose a system for efficient scheduling of patient tests, while obeying all temporal and managerial limitations as well as observing all medical procedures. This system, which we call HOSTESS, uses a new approach, the dynamic distributed scheduling for managing the patient test requests in large hospitals, with many laboratories that perform a multitude of tests. The system is designed as a modular expandable application, in order to perform efficiently under heavy loads. 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In this paper we propose a framework, called TempRuleD, that could manage these problems effectively. This framework is a temporal database, which uses rules, and is based on a generic time management kernel called TGS. TGS has been developed at N.C.S.R. ‘Demokritos’ and is based on a multiroot graph that supports storing, indexing and fast retrieval of time references. The applicability and the expected benefits of the proposed framework are discussed for the payroll information system of Greek public sector organizations. 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In this paper we propose a framework, called TempRuleD, that could manage these problems effectively. This framework is a temporal database, which uses rules, and is based on a generic time management kernel called TGS. TGS has been developed at N.C.S.R. ‘Demokritos’ and is based on a multiroot graph that supports storing, indexing and fast retrieval of time references. The applicability and the expected benefits of the proposed framework are discussed for the payroll information system of Greek public sector organizations. 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$(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="118655679"><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/118655679/Continual_planning_and_scheduling_for_managing_patient_tests_in_hospital_laboratories"><img alt="Research paper thumbnail of Continual planning and scheduling for managing patient tests in hospital laboratories" class="work-thumbnail" src="https://attachments.academia-assets.com/114230036/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/118655679/Continual_planning_and_scheduling_for_managing_patient_tests_in_hospital_laboratories">Continual planning and scheduling for managing patient tests in hospital laboratories</a></div><div class="wp-workCard_item"><span>Artificial Intelligence in Medicine</span><span>, 2000</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6be9114b6f182adea158aae23b77fb77" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":114230036,"asset_id":118655679,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/114230036/download_file?st=MTczMzAzMjgxNiw4LjIyMi4yMDguMTQ2&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="118655679"><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="118655679"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118655679; 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Our ...</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 propose a three-layered architecture for clinical evidencebased Decision Support Systems. Our architecture allows for off-the-shelf low-cost sensors to be deployed in tele-health environments; counterbalancing low confidence in the sensor data by fusing data from multiple sensors. The relevant data fusion and interpretation layer also forms the interface between sensor data and explicit rules encoding medical knowledge. This achieves a complete separation of the non-medical and medical knowledge, an important step for system adoption.</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="118655527"><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="118655527"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118655527; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118655527]").text(description); $(".js-view-count[data-work-id=118655527]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118655527; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118655527']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 118655527, 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" } } $('.js-work-strip[data-work-id=118655527]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118655527,"title":"Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study","translated_title":"","metadata":{"abstract":"We propose a three-layered architecture for clinical evidencebased Decision Support Systems. Our architecture allows for off-the-shelf low-cost sensors to be deployed in tele-health environments; counterbalancing low confidence in the sensor data by fusing data from multiple sensors. The relevant data fusion and interpretation layer also forms the interface between sensor data and explicit rules encoding medical knowledge. This achieves a complete separation of the non-medical and medical knowledge, an important step for system adoption.","publication_date":{"day":null,"month":null,"year":2012,"errors":{}}},"translated_abstract":"We propose a three-layered architecture for clinical evidencebased Decision Support Systems. Our architecture allows for off-the-shelf low-cost sensors to be deployed in tele-health environments; counterbalancing low confidence in the sensor data by fusing data from multiple sensors. The relevant data fusion and interpretation layer also forms the interface between sensor data and explicit rules encoding medical knowledge. This achieves a complete separation of the non-medical and medical knowledge, an important step for system adoption.","internal_url":"https://www.academia.edu/118655527/Supporting_tele_health_and_AI_based_clinical_decision_making_with_sensor_data_fusion_and_semantic_interpretation_The_USEFIL_case_study","translated_internal_url":"","created_at":"2024-05-06T13:03:01.210-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33409838,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Supporting_tele_health_and_AI_based_clinical_decision_making_with_sensor_data_fusion_and_semantic_interpretation_The_USEFIL_case_study","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":33409838,"first_name":"C.","middle_initials":null,"last_name":"Spyropoulos","page_name":"Spyropoulos","domain_name":"independent","created_at":"2015-07-28T11:42:54.141-07:00","display_name":"C. 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Engineering Symposium on - IDEAS '19</span><span>, 2019</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f529101081009ab29abec205ad10178e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97839530,"asset_id":95741577,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97839530/download_file?st=MTczMzAzMjgxNiw4LjIyMi4yMDguMTQ2&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="95741577"><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="95741577"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95741577; 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$(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="95741574"><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/95741574/eg_GRIDS_Context_Free_Grammatical_Inference_from_Positive_Examples_Using_Genetic_Search"><img alt="Research paper thumbnail of eg-GRIDS: Context-Free Grammatical Inference from Positive Examples Using Genetic Search" class="work-thumbnail" src="https://attachments.academia-assets.com/97839539/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/95741574/eg_GRIDS_Context_Free_Grammatical_Inference_from_Positive_Examples_Using_Genetic_Search">eg-GRIDS: Context-Free Grammatical Inference from Positive Examples Using Genetic Search</a></div><div class="wp-workCard_item"><span>Grammatical Inference: Algorithms and Applications</span><span>, 2004</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="922c14761e10a1c3139802f6001774c6" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97839539,"asset_id":95741574,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97839539/download_file?st=MTczMzAzMjgxNiw4LjIyMi4yMDguMTQ2&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="95741574"><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="95741574"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95741574; 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$(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="95741571"><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/95741571/Learning_Rules_for_Large_Vocabulary_Word_Sense_Disambiguation_A_Comparison_of_Various_Classifiers"><img alt="Research paper thumbnail of Learning Rules for Large-Vocabulary Word Sense Disambiguation: A Comparison of Various Classifiers" class="work-thumbnail" src="https://attachments.academia-assets.com/97839532/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/95741571/Learning_Rules_for_Large_Vocabulary_Word_Sense_Disambiguation_A_Comparison_of_Various_Classifiers">Learning Rules for Large-Vocabulary Word Sense Disambiguation: A Comparison of Various Classifiers</a></div><div class="wp-workCard_item"><span>Lecture Notes in Computer Science</span><span>, 2000</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d44f0ef99fdd9f84aa7cb871011aba37" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97839532,"asset_id":95741571,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97839532/download_file?st=MTczMzAzMjgxNiw4LjIyMi4yMDguMTQ2&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="95741571"><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="95741571"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95741571; 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The ontology-based annotation stage exploits the instances in the domain ontology, to automat...</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 ontology-based annotation stage exploits the instances in the domain ontology, to automatically ... 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$(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="95741566"><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/95741566/Learning_User_Communities_for_Improving_the_Services_of_Information_Providers"><img alt="Research paper thumbnail of Learning User Communities for Improving the Services of Information Providers" class="work-thumbnail" src="https://attachments.academia-assets.com/97839538/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/95741566/Learning_User_Communities_for_Improving_the_Services_of_Information_Providers">Learning User Communities for Improving the Services of Information Providers</a></div><div class="wp-workCard_item"><span>Lecture Notes in Computer Science</span><span>, 1998</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="bcdcf139951db8885311aabb25254bd9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97839538,"asset_id":95741566,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97839538/download_file?st=MTczMzAzMjgxNiw4LjIyMi4yMDguMTQ2&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="95741566"><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="95741566"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95741566; 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$(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="3297025" id="papers"><div class="js-work-strip profile--work_container" data-work-id="118655684"><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/118655684/The_use_of_terminological_knowledge_bases_in_software_localisation"><img alt="Research paper thumbnail of The use of terminological knowledge bases in software localisation" 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/118655684/The_use_of_terminological_knowledge_bases_in_software_localisation">The use of terminological knowledge bases in software localisation</a></div><div class="wp-workCard_item"><span>Lecture Notes in Computer Science</span><span>, 1995</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT</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="118655684"><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="118655684"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118655684; 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In many appli...</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">Computerised information systems tend to become more sophisticated and complicated. In many application domains, information systems must manage data that change over time, or data that reflect the use of temporal attributes. For these reasons the domain of temporal databases is an active research field. In this paper we present TGDB, a framework for developing temporal database systems that manage both valid and transaction time as well as any kind of user defined time. TGDB offers to the user a relational-like view of the tables and fields, but it is not based on the relational model. Instead it is based on the TGS graph system for time management. 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Because these vessels have a complicated layout of a large number of tanks and they transport dangerous cargos, currently, their loading is carried out using commercially available computer codes, called loadmasters. 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Because these vessels have a complicated layout of a large number of tanks and they transport dangerous cargos, currently, their loading is carried out using commercially available computer codes, called loadmasters. The loadmasters estimate the ship stresses and the","publisher":"Springer Berlin Heidelberg","publication_date":{"day":null,"month":null,"year":1995,"errors":{}},"publication_name":"Lecture Notes in Computer Science"},"translated_abstract":"Chemical and Product Carriers (CPC) are ships carrying at a single voyage a variety of liquefied chemical and oil product cargos. Because these vessels have a complicated layout of a large number of tanks and they transport dangerous cargos, currently, their loading is carried out using commercially available computer codes, called loadmasters. 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Th...</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">Patient tests in hospital environments involve a significant percentage of hospital resources. The patient must occupy some of his/her time, personnel and equipment have to be allocated, co-operation between hospital laboratories and departments must be ensured, tests should be performed within rigid time limits and the results should be ready before due times imposed by doctors, nurses or other medical personnel. From the patient&amp;#39;s point of view there must be almost no distress, while hospital management wants as much equipment utilization as possible. In the present paper we propose a system for efficient scheduling of patient tests, while obeying all temporal and managerial limitations as well as observing all medical procedures. This system, which we call HOSTESS, uses a new approach, the dynamic distributed scheduling for managing the patient test requests in large hospitals, with many laboratories that perform a multitude of tests. The system is designed as a modular expandable application, in order to perform efficiently under heavy loads. Doctors, nurses, laboratory technicians and other personnel enter their requests and HOSTESS creates consistent schedules for every equipment needed in the required tests.</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="118655681"><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="118655681"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118655681; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118655681]").text(description); $(".js-view-count[data-work-id=118655681]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118655681; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118655681']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 118655681, 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" } } $('.js-work-strip[data-work-id=118655681]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118655681,"title":"A system for efficient scheduling of patient tests in hospitals","translated_title":"","metadata":{"abstract":"Patient tests in hospital environments involve a significant percentage of hospital resources. 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In the present paper we propose a system for efficient scheduling of patient tests, while obeying all temporal and managerial limitations as well as observing all medical procedures. This system, which we call HOSTESS, uses a new approach, the dynamic distributed scheduling for managing the patient test requests in large hospitals, with many laboratories that perform a multitude of tests. The system is designed as a modular expandable application, in order to perform efficiently under heavy loads. Doctors, nurses, laboratory technicians and other personnel enter their requests and HOSTESS creates consistent schedules for every equipment needed in the required tests.","internal_url":"https://www.academia.edu/118655681/A_system_for_efficient_scheduling_of_patient_tests_in_hospitals","translated_internal_url":"","created_at":"2024-05-06T13:05:55.636-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33409838,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"A_system_for_efficient_scheduling_of_patient_tests_in_hospitals","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":33409838,"first_name":"C.","middle_initials":null,"last_name":"Spyropoulos","page_name":"Spyropoulos","domain_name":"independent","created_at":"2015-07-28T11:42:54.141-07:00","display_name":"C. 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In this paper we propose a framework, called TempRuleD, that could manage these problems effectively. This framework is a temporal database, which uses rules, and is based on a generic time management kernel called TGS. TGS has been developed at N.C.S.R. ‘Demokritos’ and is based on a multiroot graph that supports storing, indexing and fast retrieval of time references. The applicability and the expected benefits of the proposed framework are discussed for the payroll information system of Greek public sector organizations. Such a system usually requires many updates and calculations with retroactive and delayed data and rules.</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="118655680"><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="118655680"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118655680; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118655680]").text(description); $(".js-view-count[data-work-id=118655680]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118655680; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118655680']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 118655680, 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" } } $('.js-work-strip[data-work-id=118655680]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118655680,"title":"A temporal framework for managing retroactive and delayed updates: an application to the payroll information system of the Greek public sector","translated_title":"","metadata":{"abstract":"Retroactive and delayed updates cause many problems in the maintenance of information systems which deal with accounting, banking, payroll and other applications. 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$(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="118655679"><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/118655679/Continual_planning_and_scheduling_for_managing_patient_tests_in_hospital_laboratories"><img alt="Research paper thumbnail of Continual planning and scheduling for managing patient tests in hospital laboratories" class="work-thumbnail" src="https://attachments.academia-assets.com/114230036/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/118655679/Continual_planning_and_scheduling_for_managing_patient_tests_in_hospital_laboratories">Continual planning and scheduling for managing patient tests in hospital laboratories</a></div><div class="wp-workCard_item"><span>Artificial Intelligence in Medicine</span><span>, 2000</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6be9114b6f182adea158aae23b77fb77" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":114230036,"asset_id":118655679,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/114230036/download_file?st=MTczMzAzMjgxNiw4LjIyMi4yMDguMTQ2&st=MTczMzAzMjgxNiw4LjIyMi4yMDguMTQ2&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="118655679"><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="118655679"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118655679; 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Our ...</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 propose a three-layered architecture for clinical evidencebased Decision Support Systems. Our architecture allows for off-the-shelf low-cost sensors to be deployed in tele-health environments; counterbalancing low confidence in the sensor data by fusing data from multiple sensors. The relevant data fusion and interpretation layer also forms the interface between sensor data and explicit rules encoding medical knowledge. 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No.99CH37028)</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="83b8c16a50af794177e1883141fa296c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97839536,"asset_id":95741575,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97839536/download_file?st=MTczMzAzMjgxNiw4LjIyMi4yMDguMTQ2&st=MTczMzAzMjgxNiw4LjIyMi4yMDguMTQ2&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="95741575"><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="95741575"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95741575; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=95741575]").text(description); $(".js-view-count[data-work-id=95741575]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 95741575; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='95741575']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 95741575, 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: "83b8c16a50af794177e1883141fa296c" } } $('.js-work-strip[data-work-id=95741575]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":95741575,"title":"From Web usage statistics to Web usage analysis","translated_title":"","metadata":{"grobid_abstract":"The World Wide Web has become a major source of information that can be turned into valuable knowledge for individuals and organisations. In the work presented here, we are concerned with the extraction of meta-knowledge from the Web. In particular, knowledge about Web usage which is invaluable to the construction of Web sites that meet their purposes and prevent disorientation. Towards this goal, we propose the organisation of the users of a Web site into groups with common navigational behaviour (user communities). We view the task of building user communities as a data mining task, searching for interesting patterns within a database. The database that we use in our experiments consists of access logs collected from the Web site of the Advanced Course on Artificial Intelligence 1999. The unsupervised machine learning algorithm COBWEB is used to organise the users of the site, who follow similar paths, into a small set of communities. Particular attention is paid to the interpretation of the communities that are generated through this process. 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An interesting problem where planning technology can be applied is the problem of scheduling patient tests in hospital laboratories. Doctors prescribe tests to be performed in order to assist the diagnosis. Hospital laboratories that perform tests, must cooperate in order to maximize the utilization of their equipment and minimize patient waiting time. The actual timing of the tests prescribed for a particular patient. depends on several factors that require both planning and scheduling technology. Until now, approaches that cope with this problem use pure scheduling techniques [1,2]. Among them, there are approaches that consider scheduling tests in a single laboratory [2] and approaches that support multi-laboratory test scheduling by assigning different schedulers to different laboratories [I). In [3], a dynamic distributed scheduling approach has been proposed. In [4] we made a first attempt to integrate planning and scheduling technology to solve problems of this domain. In the present chapter a more thorough approach is given. We first examine the need to J This work was developed during the project PENED 561: CHRONOBAST (TEDRAS). funded by the European Commission (EC) and the Greek General Secretary for Research and Technology of the Ministry of Development. 475 S. G. Tzafestas (ed.","publication_date":{"day":null,"month":null,"year":1999,"errors":{}},"publication_name":"Advances in Intelligent Systems","grobid_abstract_attachment_id":97839487},"translated_abstract":null,"internal_url":"https://www.academia.edu/95741573/The_Role_of_Planning_in_Scheduling_Patient_Tests_in_Hospital_Laboratories","translated_internal_url":"","created_at":"2023-01-26T08:18:05.372-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33409838,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":97839487,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97839487/thumbnails/1.jpg","file_name":"978-94-011-4840-5_42.pdf","download_url":"https://www.academia.edu/attachments/97839487/download_file?st=MTczMzAzMjgxNiw4LjIyMi4yMDguMTQ2&st=MTczMzAzMjgxNiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_Role_of_Planning_in_Scheduling_Patie.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97839487/978-94-011-4840-5_42-libre.pdf?1674756699=\u0026response-content-disposition=attachment%3B+filename%3DThe_Role_of_Planning_in_Scheduling_Patie.pdf\u0026Expires=1733036416\u0026Signature=WKf7WN24BfPJeet1YA8XbjXSh1sG49xleO~oEodgD~F3AQyXL51b8ghOPSioTy0zqBIv7hxJCXbkUDOnz2oBV0g2vwYfV7fJCwuJ-fosrM3nZRQ9-V5E8tnVDo9dSKA5pq~uWtD8-Mn1sN6dv5r6EVqm5Dm94aq87Br08eqxpnhbHx1E2NMWvIqg6SAGN-5ZiF7TdbbTH1BIZSlsaeiSfEC-UKvBSE2NRPJOi~ZncNBsjtiw-NJ8yjbXDe7a7Tjkf0SNH4d3PhEQhu5rE2gXSywGG8Bvp0E9wTfcAWsCEWKjxy4E-bbWNpitDFqGm2M0n3VhIcCF1hOGC1h-iT8GLw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"The_Role_of_Planning_in_Scheduling_Patient_Tests_in_Hospital_Laboratories","translated_slug":"","page_count":12,"language":"en","content_type":"Work","owner":{"id":33409838,"first_name":"C.","middle_initials":null,"last_name":"Spyropoulos","page_name":"Spyropoulos","domain_name":"independent","created_at":"2015-07-28T11:42:54.141-07:00","display_name":"C. 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In general, the disambiguation rules differ for different words. For this reason, the automatic construction of disambiguation rules is highly desirable. One way to achieve this aim is by applying machine learning techniques to training data containing the various senses of the ambiguous words. In the work presented here, the decision tree learning algorithm C4.5 is applied on a corpus of financial news articles. Instead of concentrating on a small set of ambiguous words, as done in most of the related previous work, all content words of the examined corpus are disambiguated. 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