{"id":16638,"date":"2024-09-20T12:40:48","date_gmt":"2024-09-20T10:40:48","guid":{"rendered":"https:\/\/is.ijs.si\/?p=16638"},"modified":"2025-03-26T13:25:39","modified_gmt":"2025-03-26T12:25:39","slug":"enhancing-ontology-engineering-with-llms-from-search-to-active-learning-extensions","status":"publish","type":"post","link":"https:\/\/is.ijs.si\/?p=16638","title":{"rendered":"Enhancing Ontology Engineering with LLMs: From Search to Active Learning Extensions"},"content":{"rendered":"\n<p>Ganna Kholmska, Klemen Kenda and Jo\u017ee Ro\u017eanec<\/p>\n<p><strong>Abstract<\/strong><br \/>This paper explores the application of LLMs to ontology<br \/>engineering tasks within the HumAIne project. The authors<br \/>present a methodology for for LLM-driven discovery, analysis,<br \/>and extension of ontologies related to Data Mining, Machine<br \/>Learning, and manufacturing domains. LLMs were employed to<br \/>identify suitable ontologies and extend them with Active<br \/>Learning concepts. While LLMs significantly streamline<br \/>ontology-related tasks, challenges remain, including the need for<br \/>domain-specific validation in pilot case studies.<\/p>\n<p>\u00a0<\/p>\n\n\n\n<div data-wp-interactive=\"core\/file\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!state.hasPdfPreview\" hidden class=\"wp-block-file__embed\" data=\"https:\/\/is.ijs.si\/wp-content\/uploads\/2024\/10\/IS2024_-_SIKDD_2024_paper_28-1.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of IS2024_-_SIKDD_2024_paper_28-1.\"><\/object><a id=\"wp-block-file--media-1e64fdf0-bd89-4aca-8ecc-6a84aa803ff7\" href=\"https:\/\/is.ijs.si\/wp-content\/uploads\/2024\/10\/IS2024_-_SIKDD_2024_paper_28-1.pdf\">IS2024_-_SIKDD_2024_paper_28-1<\/a><a href=\"https:\/\/is.ijs.si\/wp-content\/uploads\/2024\/10\/IS2024_-_SIKDD_2024_paper_28-1.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-1e64fdf0-bd89-4aca-8ecc-6a84aa803ff7\">Download<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":29,"featured_media":24966,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[109,102],"tags":[],"class_list":["post-16638","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-doi-sikdd-2024","category-papers"],"_links":{"self":[{"href":"https:\/\/is.ijs.si\/index.php?rest_route=\/wp\/v2\/posts\/16638","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/is.ijs.si\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/is.ijs.si\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/is.ijs.si\/index.php?rest_route=\/wp\/v2\/users\/29"}],"replies":[{"embeddable":true,"href":"https:\/\/is.ijs.si\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=16638"}],"version-history":[{"count":3,"href":"https:\/\/is.ijs.si\/index.php?rest_route=\/wp\/v2\/posts\/16638\/revisions"}],"predecessor-version":[{"id":25020,"href":"https:\/\/is.ijs.si\/index.php?rest_route=\/wp\/v2\/posts\/16638\/revisions\/25020"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/is.ijs.si\/index.php?rest_route=\/wp\/v2\/media\/24966"}],"wp:attachment":[{"href":"https:\/\/is.ijs.si\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=16638"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/is.ijs.si\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=16638"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/is.ijs.si\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=16638"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}