ALOD2Vec Matcher results for OAEI 2020


Portisch, Jan ; Hladik, Michael ; Paulheim, Heiko


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URL: https://madoc.bib.uni-mannheim.de/58767
Additional URL: http://ceur-ws.org/Vol-2788/oaei20_paper2.pdf
URN: urn:nbn:de:bsz:180-madoc-587672
Document Type: Conference or workshop publication
Year of publication: 2020
Book title: OM 2020 - Ontology Matching 2020 - Proceedings of the 15th International Workshop on Ontology Matching co-located with the 19th International Semantic Web Conference (ISWC 2020)
The title of a journal, publication series: CEUR Workshop Proceedings
Volume: 2788
Page range: 147-153
Conference title: OM 2020
Location of the conference venue: Online
Date of the conference: 02.11.2020
Publisher: Shvaiko, Pavel ; Euzenat, Jérôme ; Jiménez-Ruiz, Ernesto ; Hassanzadeh, Oktie ; Trojahn, Cássia
Place of publication: Aachen
Publishing house: RWTH
ISSN: 1613-0073
Related URLs:
Publication language: English
Institution: School of Business Informatics and Mathematics > Web Data Mining (Paulheim 2018-)
Pre-existing license: Creative Commons Attribution 4.0 International (CC BY 4.0)
Subject: 004 Computer science, internet
Individual keywords (German): Datenintegration , Semantische Integration , Ontologien
Keywords (English): ontology matching , data integration , semantic matching , semantic integration , ontologies , knowledge graph embeddings , rdf2vec
Abstract: This paper presents the results of the ALOD2Vec Matcher in the Ontology Alignment Evaluation Initiative(OAEI) 2020. The matching system exploits a Web-scale dataset, i.e.WebIsALOD, as background knowledge source. In order to make use of the dataset, the RDF2Vec approach is applied to derive embeddings for each concept available in the dataset. ALOD2Vec Matcher participated in the OAEI 2018 campaign before. This is the system’s second participation. The matching system has been extended, improved, and achieves better results this year.

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