Supervised ontology and instance matching with MELT

Hertling, Sven ; Portisch, Jan ; Paulheim, Heiko

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URL:	https://madoc.bib.uni-mannheim.de/57494
Additional URL:	http://ceur-ws.org/Vol-2788/om2020_LTpaper6.pdf
URN:	urn:nbn:de:bsz:180-madoc-574941
Document Type:	Conference or workshop publication
Year of publication:	2020
Book title:	OM 2020 : Proceedings of the 15th International Workshop on Ontology Matching co-located with the 19th International Semantic Web Conference (ISWC 2020) Virtual conference (originally planned to be in Athens, Greece), November 2, 2020
The title of a journal, publication series:	CEUR Workshop Proceedings
Volume:	2788
Page range:	60-71
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, Germany
Publishing house:	RWTH Aachen
ISSN:	1613-0073
Related URLs:	http://ceur-ws.org/Vol-2788/ https://arxiv.org/abs/2009.11102
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
Keywords (English):	ontology matching , supervised learning , machine learning , knowledge graph embeddings
Abstract:	In this paper, we present MELT-ML, a machine learning extension to the Matching and EvaLuation Toolkit (MELT) which facilitates the application of supervised learning for ontology and instance matching. Our contributions are twofold: We present an open source machine learning extension to the matching toolkit as well as two supervised learning use cases demonstrating the capabilities of the new extension.