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class="banner-header"> <div class="col-sm-12 col-sm-offset-0 col-md-offset-1 col-md-10 col-lg-7"> <div class="heading-title">WP4 Societal AI</div> <h1 class="banner-title text-red">[TMP-130] Venice: creation of stories and narrative from data of Cultural Heritage</h1> <p class="subhead">Consiglio Nazionale delle Ricerche (CNR), Universit脿 di Pisa (UNIPI), German Research Centre for Artificial Intelligence (DFKI)</p> </div> <div class="col-sm-offset-2 col-md-offset-0">    </div> </header> </div> <div class="clearfix"> <div class="section-list-wrapper clearfix"> <div class="col-sm-12 col-md-offset-1 col-md-10 section-list"> </div> </div> <div class="col-sm-12 col-md-offset-1 col-md-10 section-content"> <div class="tab-content"> <div class="tab-pane active" id=""> <blockquote><p><b>Contact person: </b><span style="font-weight: 400;">聽Guido Caldarelli (Guido.Caldarelli@cnr.it)</span></p></blockquote> <p><b>Internal Partners:</b></p> <ol> <li><span style="font-weight: 400;"> Consiglio Nazionale delle Ricerche (CNR), Guido Caldarelli</span></li> <li><span style="font-weight: 400;"> Universit脿 di Pisa (UNIPI), Dino Pedreschi</span></li> <li><span style="font-weight: 400;"> German Research Centre for Artificial Intelligence (DFKI), Paul Lukowicz</span></li> </ol> <p> </p> <p><span style="font-weight: 400;">In this activity we want to tackle the fundamental dishomogeneity of the cultural heritage data by structuring the knowledge available from user experience and methods of machine learning. The overall objective of this microproject is to design new methodologies to extract and produce new information, as well as to propose scholars and practitioners new and even unexpected and surprising connections and knowledge and make new sense of cultural heritage by connecting and creating sense and narratives with methods based on network theory and artificial intelligenceIn this activity we wanted to represent a snapshot of the social and political life in 1300 Venice, by taking the data form state archive of republic of Venice and by using computational and AI instrumented to represent them in form of a graph, finding communities. In order to achieve this activity we firstly need to have a sense of the archive structure and then we need to identify the documents worth of attention. Once those have been identified we need an automatic translation from calligraphy to ancient venetian or latin and then a transformation of this information into a file. On these computer readable data we then apply algorithms to recognise structure and communities, by connecting people, events and places.</span></p> <h4><b>Results Summary</b></h4> <p><span style="font-weight: 400;">By examining archival data from the Senato-Misti-Series of the Venice state archive </span><span style="font-weight: 400;">(ASVe), we uncovered some clear quantitative trends and patterns that we com the </span><span style="font-weight: 400;">pivotal role of immigration in urban evolution, providing insights into how diverse </span><span style="font-weight: 400;">populations have built and sustained thriving communities. </span><span style="font-weight: 400;">Understanding the historical significance of immigration helps us appreciate the </span><span style="font-weight: 400;">complex interplay of factors that have shaped cities and informs contemporary </span><span style="font-weight: 400;">discussions on urban development and multiculturalism. </span><span style="font-weight: 400;">This exploration highlights the enduring legacy of immigration in creating resilient </span><span style="font-weight: 400;">and dynamic urban environments, emphasizing the importance of inclusive policies </span><span style="font-weight: 400;">and practices in addressing modern urban challenges. The project resulted also in a preprint that should be submitted in the upcoming period.</span></p> <p><b>Tangible Outcomes</b></p> <ol> <li><span style="font-weight: 400;">we have a cleared and cured dataset for 70 years of Senate activities from year 1333 vld.techtree.it Tools that exploit the unique temporal continuity and consistency of the Senato-Deliberazioni-Misti archival series to represent the time evolution of queries and to construct dynamical chronologies.</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">VLD Series Viewer vld.techtree.it聽</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">We presented these results to various meetings as the one on Max Planck Institute fur Kunst geschichte Biblioteca Hertziana Library at this link </span><a href="https://www.biblhertz.it/3395137/towards-a-collaborative-cultural-analysis-of-the-city-of-rome"><span style="font-weight: 400;">https://www.biblhertz.it/3395137/towards-a-collaborative-cultural-analysis-of-the-city-of-rome</span></a><span style="font-weight: 400;">聽</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Download the slides here </span><a href="https://www.dropbox.com/scl/fi/sai8cho2tk42c0q25ndqi/136-VLD.pptx?rlkey=55y1f2nymjoybf6s0hfxok0z5&dl=0"><span style="font-weight: 400;">https://www.dropbox.com/scl/fi/sai8cho2tk42c0q25ndqi/136-VLD.pptx?rlkey=55y1f2nymjoybf6s0hfxok0z5&dl=0</span></a><span style="font-weight: 400;">聽</span></li> </ol> </div> </div> </div> </div> </article> </div> </div>   <div class="footer"> <div class="container"> <div class="row"> <div class="col-xs-12 col-sm-12 col-md-12 logomark-row"> <div class="row center"> <div class="col-sm-6 col-lg-3"> <ul> <li class="consortium-logo"> <img src="https://www.humane-ai.eu/wp-content/themes/humaneai-child/img/k4all_100px.png" alt="IDRC Logo"> </li> <li class="with-icon"> <i class="icon-location hidden-xs hidden-sm hidden-md"></i> <h5><a href="https://www.k4all.org/"> Knowledge 4 All Foundation Ltd.</a> </h5> </li> <li>Betchworth House</li> <li>57-65 Station Road</li> <li>Redhill, Surrey, RH1 1DL</li> </ul> </div> <div class="col-sm-6 col-lg-6"> <h2>Humane AI on Social Media</h2> <ul class=""> <li style="padding-left: 4px;"><a href="https://twitter.com/humaneainet">Follow us on Twitter <i class="icon-right-open"></i></a></li> <li style="padding-left: 4px;"><a href="https://www.linkedin.com/company/90859893/admin/feed/posts/">Follow us on LinkedIn <i class="icon-right-open"></i></a></li> <li style="padding-left: 4px;"><a href="https://www.facebook.com/profile.php?id=100089945357753">Follow us on Facebook <i class="icon-right-open"></i></a></li> <li style="padding-left: 4px;"><a href="https://www.ai4europe.eu/ai-community/projects/humane-ai-net">Find us at AI4Europe <i class="icon-right-open"></i></a></li> </ul> </div> </div> <div class="row center eu-byline"> <div class="col-sm-6 col-md-2 col-lg-2 col-lg-offset-2 text-center"> <img style="margin-right: 0" src="https://www.humane-ai.eu/wp-content/themes/humaneai-child/img/eu.jpg" alt="EU Logo"/> </div> <div class="col-sm-6"> <p>This project has received funding from the European Union鈥檚 Horizon 2020 research and innovation programme under grant agreement No 952026.</p> </div> </div> </div> </div> <div class="row"> <div class="col-sm-12 text-center"> <a href="/eu/terms-of-service-and-privacy-policy/">Terms of Service & Privacy Policy</a> | © <a href="https://www.k4all.org/" target="_blank">Knowledge 4 All Foundation</a></div> </div> </div> </div> <script type="text/javascript" src="https://www.humane-ai.eu/wp-content/themes/openingup/js/script.min.js?ver=20201208" id="op-script-js"></script> <script type="text/javascript" src="https://stats.wp.com/e-202447.js" id="jetpack-stats-js" data-wp-strategy="defer"></script> <script type="text/javascript" id="jetpack-stats-js-after"> /* <![CDATA[ */ _stq = window._stq || []; _stq.push([ "view", JSON.parse("{\"v\":\"ext\",\"blog\":\"161946599\",\"post\":\"4713\",\"tz\":\"0\",\"srv\":\"www.humane-ai.eu\",\"j\":\"1:13.1.4\"}") ]); _stq.push([ "clickTrackerInit", "161946599", "4713" ]); /* ]]> */ </script> <script> (function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){ (i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o), m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m) })(window,document,'script','//www.google-analytics.com/analytics.js','ga'); ga('create', 'UA-353712-25', 'auto'); ga('send', 'pageview', {'anonymizeIp': true}); </script> </body> </html>