{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/related-terms-search-based-on-wordnet","title":"Related terms search based on WordNet / Wiktionary and its application in Ontology Matching","arxiv_id":"0907.2209","date":"2009-07-13","proceeding":null,"authors":["A. A. Krizhanovsky","Feiyu Lin"],"abstract":"A set of ontology matching algorithms (for finding correspondences between\nconcepts) is based on a thesaurus that provides the source data for the\nsemantic distance calculations. In this wiki era, new resources may spring up\nand improve this kind of semantic search. In the paper a solution of this task\nbased on Russian Wiktionary is compared to WordNet based algorithms. Metrics\nare estimated using the test collection, containing 353 English word pairs with\na relatedness score assigned by human evaluators. The experiment shows that the\nproposed method is capable in principle of calculating a semantic distance\nbetween pair of words in any language presented in Russian Wiktionary. The\ncalculation of Wiktionary based metric had required the development of the\nopen-source Wiktionary parser software.","url_abs":"http://arxiv.org/abs/0907.2209v2","url_pdf":"http://arxiv.org/pdf/0907.2209v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"related-terms-search-based-on-wordnet","repo_url":"https://github.com/componavt/wikokit","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"ontology-matching","task_name":"Ontology Matching"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}