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Trimming a consistent OWL knowledge base, relying on linguistic evidence

Corman, Julien and Aussenac-Gilles, Nathalie and Vieu, Laure Trimming a consistent OWL knowledge base, relying on linguistic evidence. (2015) In: Workshop on Language and Ontologies, held at the 11th International Conference on Computational Semantics (IWCS 2015), 14 April 2015 (London, United Kingdom).

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Official URL: http://www.aclweb.org/anthology/W15-0406

Abstract

Intuitively absurd but logically consistent sets of statements are common in publicly available OWL datasets. This article proposes an original and fully automated method to point at erroneous axioms in a consistent OWL knowledge base, by weakening it in order to improve its compliance with linguistic evidence gathered from natural language texts. A score for evaluating the compliance of subbases of the input knowledge base is proposed, as well as a trimming algorithm to discard potentially erroneous axioms. The whole approach is evaluated on two real datasets, with automatically retrieved web pages as a linguistic input.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to ACL for Thanks to ACL for ACL Anthology, Digital Archive of Research Papers in Computational Linguistics. This papers appears in IWCS Workshop: Language and Ontologies 2015 ISBN: 978-1-5108-0228-5 The definitive version is available at https://www.aclweb.org/anthology/W/W15/#0400 The original PDF is available at: http://www.aclweb.org/anthology/W15-0406
HAL Id:hal-01343041
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
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Deposited By: IRIT IRIT
Deposited On:21 Jun 2016 08:49

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