ATBox results for OAEI 2020

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URL:	https://madoc.bib.uni-mannheim.de/58060
Additional URL:	http://ceur-ws.org/Vol-2788/oaei20_paper5.pdf
URN:	urn:nbn:de:bsz:180-madoc-580603
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:	168-175
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/
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
Keywords (English):	ontology matching , knowledge graph
Abstract:	ATBox matcher is a scalable system for instance (Abox) and schema (Tbox) matching. It uses two pipelines for generating candidates for the schema and instance matching, and utilizes the schema matches to further improve the instance correspondences. Using a string blocking method, ATBox is able to align large ontologies and can run on OAEI tracks like largebio and knowledge graph. The results look promising, but further features for better finding correct instance matches can be developed.