{"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/multilingual-ontology-matching-based-on","title":"Multilingual ontology matching based on Wiktionary data accessible via SPARQL endpoint","arxiv_id":"1109.0732","date":"2011-09-04","proceeding":null,"authors":["Feiyu Lin","Andrew Krizhanovsky"],"abstract":"Interoperability is a feature required by the Semantic Web. It is provided by\nthe ontology matching methods and algorithms. But now ontologies are presented\nnot only in English, but in other languages as well. It is important to use an\nautomatic translation for obtaining correct matching pairs in multilingual\nontology matching. The translation into many languages could be based on the\nGoogle Translate API, the Wiktionary database, etc. From the point of view of\nthe balance of presence of many languages, of manually crafted translations, of\na huge size of a dictionary, the most promising resource is the Wiktionary. It\nis a collaborative project working on the same principles as the Wikipedia. The\nparser of the Wiktionary was developed and the machine-readable dictionary was\ndesigned. The data of the machine-readable Wiktionary are stored in a\nrelational database, but with the help of D2R server the database is presented\nas an RDF store. Thus, it is possible to get lexicographic information\n(definitions, translations, synonyms) from web service using SPARQL requests.\nIn the case study, the problem entity is a task of multilingual ontology\nmatching based on Wiktionary data accessible via SPARQL endpoint. Ontology\nmatching results obtained using Wiktionary were compared with results based on\nGoogle Translate API.","url_abs":"http://arxiv.org/abs/1109.0732v2","url_pdf":"http://arxiv.org/pdf/1109.0732v2.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":"multilingual-ontology-matching-based-on","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"},{"task_slug":"translation","task_name":"Translation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}