{"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/breaking-down-the-ontology-alignment-task","title":"Breaking-down the Ontology Alignment Task with a Lexical Index and Neural Embeddings","arxiv_id":"1805.12402","date":"2018-05-31","proceeding":null,"authors":["Ernesto Jimenez-Ruiz","Asan Agibetov","Matthias Samwald","Valerie Cross"],"abstract":"Large ontologies still pose serious challenges to state-of-the-art ontology\nalignment systems. In the paper we present an approach that combines a lexical\nindex, a neural embedding model and locality modules to effectively divide an\ninput ontology matching task into smaller and more tractable matching\n(sub)tasks. We have conducted a comprehensive evaluation using the datasets of\nthe Ontology Alignment Evaluation Initiative. The results are encouraging and\nsuggest that the proposed methods are adequate in practice and can be\nintegrated within the workflow of state-of-the-art systems.","url_abs":"http://arxiv.org/abs/1805.12402v1","url_pdf":"http://arxiv.org/pdf/1805.12402v1.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":"breaking-down-the-ontology-alignment-task","repo_url":"https://github.com/ernestojimenezruiz/logmap-matcher","is_official":1,"mentioned_in_paper":1,"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}