Background knowledge in schema matching: Strategy vs. data

Portisch, Jan ; Hladik, Michael ; Paulheim, Heiko

DOI:	https://doi.org/10.1007/978-3-030-88361-4_17
URL:	https://doi.org/10.1007/978-3-030-88361-4_17
Document Type:	Conference or workshop publication
Year of publication:	2021
Book title:	The Semantic Web – ISWC 2021 : 20th International Semantic Web Conference, ISWC 2021, virtual event, October 24–28, 2021, proceedings
The title of a journal, publication series:	Lecture Notes in Computer Science
Volume:	12922
Page range:	287-303
Conference title:	ISWC 2021 (20, 2021)
Location of the conference venue:	online
Date of the conference:	24.-28.10.2021
Publisher:	Hotho, Andreas ; Blomqvist, Eva ; Dietze, Stefan ; Fokoue, Achille ; Ding, Ying ; Barnaghi, Payam ; Haller, Armin ; Dragoni, Mauro ; Alani, Harith
Place of publication:	Berlin [u.a.]
Publishing house:	Springer
ISBN:	978-3-030-88360-7 , 978-3-030-88361-4
ISSN:	0302-9743 , 1611-3349
Publication language:	English
Institution:	School of Business Informatics and Mathematics > Web Data Mining (Paulheim 2018-)
Subject:	004 Computer science, internet
Keywords (English):	schema matching , ontology matching , background knowledge , knowledge graphs , knowledge graph embeddings , data integration