TeCoRe: temporal conflict resolution in knowledge graphs


Chekol, Melisachew Wudage ; Pirrò, Giuseppe ; Schönfisch, Jörg ; Stuckenschmidt, Heiner


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DOI: https://doi.org/10.14778/3137765.3137811
URL: https://ub-madoc.bib.uni-mannheim.de/42281
Additional URL: http://dl.acm.org/citation.cfm?id=3137811
URN: urn:nbn:de:bsz:180-madoc-422817
Document Type: Conference or workshop publication
Year of publication: 2017
Book title: Proceedings of the VLDB Endowment : 43. International Conference on Very Large Data Bases
The title of a journal, publication series: Proceedings of the VLDB Endowment
Volume: 10
Page range: Iss. 12, 1929-1932
Conference title: The 43rd International Conference on Very Large Data Bases (VLDB 2017)
Location of the conference venue: München, Germany
Date of the conference: 28.08.-01-09.2017
Author/Publisher of the book
(only the first ones mentioned)
:
Boncz, Peter
Place of publication: New York, NY
Publishing house: Association of Computing Machinery
ISSN: 2150-8097
Publication language: English
Institution: School of Business Informatics and Mathematics > Praktische Informatik II (Stuckenschmidt 2009-)
Subject: 004 Computer science, internet
Abstract: The management of uncertainty is crucial when harvesting structured content from unstructured and noisy sources. Knowledge Graphs (kgs), maintaining both numerical and non-numerical facts supported by an underlying schema, are a prominent example. Knowledge Graph management is challenging because: (i) most of existing kgs focus on static data, thus impeding the availability of timewise knowledge; (ii) facts in kgs are usually accompanied by a confidence score, which witnesses how likely it is for them to hold. We demonstrate TeCoRe, a system for temporal infer- ence and conflict resolution in uncertain temporal knowledge graphs (utkgs). At the heart of TeCoRe are two state-of-the-art probabilistic reasoners that are able to deal with temporal constraints efficiently. While one is scalable, the other can cope with more expressive constraints. The demonstration will focus on enabling users and applications to find inconsistencies in utkgs. TeCoRe provides an inter- face allowing to select utkgs and editing constraints; shows the maximal consistent subset of the utkg, and displays statistics (e.g., number of noisy facts removed) about the debugging process.

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Chekol, Melisachew Wudage ; Pirrò, Giuseppe ; Schönfisch, Jörg ; Stuckenschmidt, Heiner ORCID: 0000-0002-0209-3859 TeCoRe: temporal conflict resolution in knowledge graphs. Open Access Boncz, Peter Proceedings of the VLDB Endowment 10 Iss. 12, 1929-1932 In: Proceedings of the VLDB Endowment : 43. International Conference on Very Large Data Bases (2017) New York, NY The 43rd International Conference on Very Large Data Bases (VLDB 2017) (München, Germany) [Conference or workshop publication]
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