ALOD2vec matcher results for OAEI 2021

PDF
oaei21_paper2.pdf - Published
Download (520kB)

URL:	https://madoc.bib.uni-mannheim.de/61193
Additional URL:	http://ceur-ws.org/Vol-3063/
URN:	urn:nbn:de:bsz:180-madoc-611939
Document Type:	Conference or workshop publication
Year of publication:	2022
Book title:	OM 2021, Ontology Matching 2021 : Proceedings of the 16th International Workshop on Ontology Matching, co-located with the 20th International Semantic Web Conference (ISWC 2021), virtual conference, October 25, 2021
The title of a journal, publication series:	CEUR Workshop Proceedings
Volume:	3063
Page range:	117-123
Conference title:	OM 2021
Location of the conference venue:	Online
Date of the conference:	25.10.2021
Publisher:	Shvaiko, Pavel ; Euzenat, Jérôme ; Jiménez-Ruiz, Ernesto ; Hassanzadeh, Oktie ; Trojahn, Cássia
Place of publication:	Aachen, Germany
Publishing house:	RWTH Aachen
ISSN:	1613-0073
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):	Datenintegration , Semantische Integration , Ontologien , RDF2vec
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) 2021. 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 and 2020 campaigns before. This is the system’s third participation.
Translation of the title:	Ergebnisse des ALOD2vec Matcher Systems bei der OAEI 2021 (German)
Additional information:	Online-Ressource