Wiktionary Matcher


Portisch, Jan ; Hladik, Michael ; Paulheim, Heiko


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URL: https://madoc.bib.uni-mannheim.de/53426
Additional URL: http://ceur-ws.org/Vol-2536/oaei19_paper15.pdf
URN: urn:nbn:de:bsz:180-madoc-534268
Document Type: Conference or workshop publication
Year of publication: 2020
Book title: OM 2019 : Proceedings of the 14th International Workshop on Ontology Matching co-located with the 18th International Semantic Web Conference (ISWC 2019) Auckland, New Zealand, October 26, 2019
The title of a journal, publication series: CEUR Workshop Proceedings
Volume: 2536
Page range: 181-188
Conference title: OM 2019
Location of the conference venue: Auckland, NZ
Date of the conference: 26.10.2019
Publisher: Shvaiko, Pavel ; Euzenat, Jérôme ; Jiménez-Ruiz, Ernesto ; Hassanzadeh, Oktie ; Trojahn, Cássia
Place of publication: Aachen, Germany
Publishing house: RWTH Aachen
ISSN: 1613-0073
Related URLs:
Publication language: English
Institution: School of Business Informatics and Mathematics > Data Science (Paulheim 2018-)
Pre-existing license: Creative Commons Attribution 4.0 International (CC BY 4.0)
Subject: 004 Computer science, internet
Individual keywords (German): Ontology Matching, Datenintegration, Datenintegration mit Kontextwissen, Wiktionary
Keywords (English): ontology matching, ontology alignment, ontology matching with background knowledge, background knowledge, knowledge graphs, data integration, data integration with background knowledge, wiktionary, external resources
Abstract: In this paper, we introduce Wiktionary Matcher, an ontology matching tool that exploits Wiktionary as external background knowledge source. Wiktionary is a large lexical knowledge resource that is collaboratively built online. Multiple current language versions of Wiktionary are merged and used for monolingual ontology matching by exploiting synonymy relations and for multilingual matching by exploiting the translations given in the resource. We show that Wiktionary can be used as external background knowledge source for the task of ontology matching with reasonable matching and runtime performance.




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