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Wikidata Knowledge graph is a knowledge base that illustrates entities and relationships for data discovery and integration for users. This poster will present the knowledge graphs created for digital collections at the University of Central Florida (UCF) Libraires, including People in Pemberton Correspondence Collection and the UCF Teachers & Researchers. Models for historical people from the Pemberton Correspondence Collection and university teachers from the Theses and Dissertations Collection are built, and Wikidata items for these names and their related entities are created. The resulting knowledge graphs interlink people and relations in a visually appealing way, facilitating data exploration and research discovery. The LOD data has also been added to records in the library’s institutional repository and service platform Alma, thus contributing to a more meaningful and robust data representation in the future."> <meta itemprop="description" content="As a Linked Open Data (LOD) platform for structured data, and a community-building knowledge base, Wikidata stores people, spaces, times and other entities, and their semantic relationships. Wikidata Knowledge graph is a knowledge base that illustrates entities and relationships for data discovery and integration for users. This poster will present the knowledge graphs created for digital collections at the University of Central Florida (UCF) Libraires, including People in Pemberton Correspondence Collection and the UCF Teachers & Researchers. Models for historical people from the Pemberton Correspondence Collection and university teachers from the Theses and Dissertations Collection are built, and Wikidata items for these names and their related entities are created. The resulting knowledge graphs interlink people and relations in a visually appealing way, facilitating data exploration and research discovery. The LOD data has also been added to records in the library’s institutional repository and service platform Alma, thus contributing to a more meaningful and robust data representation in the future."> <meta name="twitter:description" content="As a Linked Open Data (LOD) platform for structured data, and a community-building knowledge base, Wikidata stores people, spaces, times and other entities, and their semantic relationships. Wikidata Knowledge graph is a knowledge base that illustrates entities and relationships for data discovery and integration for users. This poster will present the knowledge graphs created for digital collections at the University of Central Florida (UCF) Libraires, including People in Pemberton Correspondence Collection and the UCF Teachers & Researchers. Models for historical people from the Pemberton Correspondence Collection and university teachers from the Theses and Dissertations Collection are built, and Wikidata items for these names and their related entities are created. The resulting knowledge graphs interlink people and relations in a visually appealing way, facilitating data exploration and research discovery. The LOD data has also been added to records in the library’s institutional repository and service platform Alma, thus contributing to a more meaningful and robust data representation in the future."> <meta property="og:description" content="As a Linked Open Data (LOD) platform for structured data, and a community-building knowledge base, Wikidata stores people, spaces, times and other entities, and their semantic relationships. Wikidata Knowledge graph is a knowledge base that illustrates entities and relationships for data discovery and integration for users. This poster will present the knowledge graphs created for digital collections at the University of Central Florida (UCF) Libraires, including People in Pemberton Correspondence Collection and the UCF Teachers & Researchers. Models for historical people from the Pemberton Correspondence Collection and university teachers from the Theses and Dissertations Collection are built, and Wikidata items for these names and their related entities are created. The resulting knowledge graphs interlink people and relations in a visually appealing way, facilitating data exploration and research discovery. The LOD data has also been added to records in the library’s institutional repository and service platform Alma, thus contributing to a more meaningful and robust data representation in the future."> <meta name="keywords" content="Wikidata, Knowledge graphs, Linked data in libraries, Linked open data, LOD, LOD visualization, Metadata, Pemberton Correspondence Collection, Theses collection, Digital Collections, Linked data, Information visualization, Cataloging of archival materials, Metadata, College teachers, Knowledge management, Digital libraries"> <link rel="license" href="http://creativecommons.org/licenses/by/4.0/"> <meta name="bepress_citation_series_title" content="Faculty Scholarship and Creative Works"> <meta name="bepress_citation_author" content="Deng, Sai"> <meta name="bepress_citation_author_institution" content="University of Central Florida"> <meta name="bepress_citation_title" content="Using Wikidata to Create Knowledge Graphs for Library Collections"> <meta 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</nav> </header> <script src="/assets/scripts/dc-mobile/dc-mobile-nav.js"></script>   <div id="ucf"> <div id="container"> <a href="#main" class="skiplink" accesskey="2" >Skip to main content</a> <div id="header" role="banner"> <a href="https://stars.library.ucf.edu" id="banner_link" title="STARS" > <img id="banner_image" alt="STARS" width='980' height='119' src="/assets/md5images/53beaa39309fb0c6d71975a8d2a28dea.png"> </a> </div> <div id="wrapper"> <div id="content"> <div id="main" class="text" role="main"> <script type="text/javascript" src="/assets/floatbox/floatbox.js"></script>  <div id="breadcrumb"><ul id="pager"> <li>< <a href="https://stars.library.ucf.edu/ucfscholar/1121" class="ignore" >Previous</a></li> <li><a href="https://stars.library.ucf.edu/ucfscholar/1125" class="ignore" >Next</a> ></li> <li> </li></ul><div class="crumbs"> <div class="crumbs" role="navigation" aria-label="Breadcrumb"> <p> <a href="https://stars.library.ucf.edu" class="ignore" >Home</a> <span aria-hidden="true">></span> <a href="https://stars.library.ucf.edu/ucfscholar" class="ignore" >Faculty Scholarship and Creative Works</a> <span aria-hidden="true">></span> <a href="https://stars.library.ucf.edu/ucfscholar/1122" class="ignore" aria-current="page" >1122</a> </p> </div> </div> </div>       <div id="series-header">  <h2 id="series-title"><a href="https://stars.library.ucf.edu/ucfscholar" >Faculty Scholarship and Creative Works</a></h2></div> <div style="clear: both"> </div> <div id="sub"> <div id="alpha"> <div id='title' class='element'> <h1><a href='https://stars.library.ucf.edu/cgi/viewcontent.cgi?article=2149&context=ucfscholar'>Using Wikidata to Create Knowledge Graphs for Library Collections</a></h1> </div> <div class='clear'></div> <div id='authors' class='element'> <h2 class='visually-hidden'>Creator</h2> <p class="author"><a href='https://stars.library.ucf.edu/do/search/?q=%28author%3A%22Sai%20Deng%22%20AND%20-bp_author_id%3A%5B%2A%20TO%20%2A%5D%29%20OR%20bp_author_id%3A%28%2221e1cab6-5be9-4e4a-a139-e6e694519faa%22%29&start=0&context=7014507'><strong>Sai Deng</strong>, <em>University of Central Florida</em></a><a rel="nofollow" href="https://network.bepress.com/api/follow/subscribe?user=YTRhMDllMjBkMzQyMTViZg%3D%3D&institution=ZTI4NDM4OGZlYWVmNWM4Yw%3D%3D&format=html" data-follow-set="user:YTRhMDllMjBkMzQyMTViZg== institution:ZTI4NDM4OGZlYWVmNWM4Yw==" title="Follow Sai Deng" class="btn followable">Follow</a><br /> </p></div> <div class='clear'></div> <div id='identifier' class='element'> <h2 class='field-heading'>Personal Identifier</h2> <p>orcid.org/0000-0002-3681-4888</p> </div> <div class='clear'></div> <div id='keywords' class='element'> <h2 class='field-heading'>Keywords</h2> <p>Wikidata, Knowledge graphs, Linked data in libraries, Linked open data, LOD, LOD visualization, Metadata, Pemberton Correspondence Collection, Theses collection, Digital Collections, Linked data, Information visualization, Cataloging of archival materials, Metadata, College teachers, Knowledge management, Digital libraries</p> </div> <div class='clear'></div> <div id='abstract' class='element'> <h2 class='field-heading'>Abstract</h2> <p>As a Linked Open Data (LOD) platform for structured data, and a community-building knowledge base, Wikidata stores people, spaces, times and other entities, and their semantic relationships. Wikidata Knowledge graph is a knowledge base that illustrates entities and relationships for data discovery and integration for users. This poster will present the knowledge graphs created for digital collections at the University of Central Florida (UCF) Libraires, including People in Pemberton Correspondence Collection and the UCF Teachers & Researchers. Models for historical people from the Pemberton Correspondence Collection and university teachers from the Theses and Dissertations Collection are built, and Wikidata items for these names and their related entities are created. The resulting knowledge graphs interlink people and relations in a visually appealing way, facilitating data exploration and research discovery. The LOD data has also been added to records in the library’s institutional repository and service platform Alma, thus contributing to a more meaningful and robust data representation in the future.</p> </div> <div class='clear'></div> <div id='publication_date' class='element'> <h2 class='field-heading'>Publication Date</h2> <p>6-25-2022</p> </div> <div class='clear'></div> <div id='custom_citation' class='element'> <h2 class='field-heading'>Original Citation</h2> <p>Deng, S. (2022). Using Wikidata to create knowledge graphs for library collections. The Chinese American Librarians Association (CALA) Annual Conference 2022 poster session. June 25, 2022.</p> </div> <div class='clear'></div> <div id='document_type' class='element'> <h2 class='field-heading'>Document Type</h2> <p>Poster</p> </div> <div class='clear'></div> <div id='copyright_status' class='element'> <h2 class='field-heading'>Copyright Status</h2> <p>Author retained</p> </div> <div class='clear'></div> <div id='pub_version' class='element'> <h2 class='field-heading'>Publication Version</h2> <p>Author's version</p> </div> <div class='clear'></div> <div id='distribution_license' class='element'> <h2 class='field-heading'>Rights</h2> <p><a href="https://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons Attribution 4.0 International License" src="https://resources.bepress.com/assets/cc-by-4.0-88x31.png" /></a><br />This work is licensed under a <a href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.</p> </div> <div class='clear'></div> <div id='college' class='element'> <h2 class='field-heading'>College</h2> <p>Information Technologies & Resources</p> </div> <div class='clear'></div> <div id='location' class='element'> <h2 class='field-heading'>Location</h2> <p>Orlando (Main) Campus</p> </div> <div class='clear'></div> <div id='department' class='element'> <h2 class='field-heading'>Department</h2> <p>University Libraries</p> </div> <div class='clear'></div> <div id='recommended_citation' class='element'> <h2 class='field-heading'>STARS Citation</h2> <p> Deng, Sai, "Using Wikidata to Create Knowledge Graphs for Library Collections" (2022). <em>Faculty Scholarship and Creative Works</em>. 1122. <br> https://stars.library.ucf.edu/ucfscholar/1122 </p> </div> <div class='clear'></div> </div> </div> <div id='beta_7-3'>     <div class="aside download-button"> <a id="pdf" class="btn" href="https://stars.library.ucf.edu/cgi/viewcontent.cgi?article=2149&context=ucfscholar" title="PDF (2.5 MB) opens in new window" target="_blank" > <i class="icon-download-alt" 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