Detection of relation assertion errors in knowledge graphs


Melo, André ; Paulheim, Heiko


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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
Author/Publisher of the book
(only the first ones mentioned)
:
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 > Wirtschaftsinformatik V (Bizer)
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

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Melo, André ; Paulheim, Heiko ORCID: 0000-0003-4386-8195 Detection of relation assertion errors in knowledge graphs. Open Access Corcho, Oscar Article 22,1-8 In: Proceedings of the Knowledge Capture Conference, K-CAP 2017, Austin, TX, USA, December 4-6, 2017 (2017) New York, NY, USA K-CAP 2017 (Austin, TX) [Conference or workshop publication]
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