Mapping Natural Language to Description Logic

Abstract : While much work on automated ontology enrichment has focused on mining text for concepts and relations, little attention has been paid to the task of enriching ontologies with complex axioms. In this paper, we focus on a form of text that is frequent in industry, namely system installation design principle (SIDP) and we present a framework which can be used both to map SIDPs to OWL DL axioms and to assess the quality of these automatically derived axioms. We present experimental results on a set of 960 SIDPs provided by Airbus which demonstrate (i) that the approach is robust (97.50% of the SIDPs can be parsed) and (ii) that DL axioms assigned to full parses are very likely to be correct in 96% of the cases.
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Communication dans un congrès
ESWC 2017 - Extended Semantic Web Conference, May 2017, Portoroz, Slovenia. ESWC 2017, 〈10.1007/978-3-319-58068-5_17〉
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https://hal.inria.fr/hal-01577655
Contributeur : Bikash Gyawali <>
Soumis le : lundi 4 septembre 2017 - 12:06:26
Dernière modification le : mardi 24 avril 2018 - 13:21:58

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Bikash Gyawali, Anastasia Shimorina, Claire Gardent, Samuel Cruz-Lara, Mariem Mahfoudh. Mapping Natural Language to Description Logic. ESWC 2017 - Extended Semantic Web Conference, May 2017, Portoroz, Slovenia. ESWC 2017, 〈10.1007/978-3-319-58068-5_17〉. 〈hal-01577655v2〉

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