Mapping Natural Language to Description Logic - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year :

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.
Fichier principal
Vignette du fichier
springer_ack.pdf (501.16 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01577655 , version 1 (27-08-2017)
hal-01577655 , version 2 (04-09-2017)

Identifiers

Cite

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. ⟨10.1007/978-3-319-58068-5_17⟩. ⟨hal-01577655v2⟩
345 View
1754 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More