Detection of relation assertion errors in knowledge graphs

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DOI:	https://doi.org/10.1145/3148011.3148033
URL:	https://madoc.bib.uni-mannheim.de/43700
Additional URL:	https://dl.acm.org/citation.cfm?id=3148033
URN:	urn:nbn:de:bsz:180-madoc-437004
Document Type:	Conference or workshop publication
Year of publication:	2017
Book title:	Proceedings of the Knowledge Capture Conference, K-CAP 2017, Austin, TX, USA, December 4-6, 2017
Page range:	Article 22,1-8
Conference title:	K-CAP 2017
Location of the conference venue:	Austin, TX
Date of the conference:	4-6 December, 2017
Publisher:	Corcho, Oscar
Place of publication:	New York, NY, USA
Publishing house:	ACM
ISBN:	978-1-4503-5553-7
Publication language:	German
Institution:	School of Business Informatics and Mathematics > Information Systems V: Web-based Systems (Bizer 2012-) School of Business Informatics and Mathematics > Web Data Mining (Juniorprofessur) (Paulheim 2013-2017)
Subject:	004 Computer science, internet
Keywords (English):	Knowledge graphs refinement , data cleansing , error detection