Mapping Natural Language to Description Logic

  • Bikash Gyawali
  • Anastasia Shimorina
  • Claire GardentEmail author
  • Samuel Cruz-Lara
  • Mariem Mahfoudh
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10249)


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.


Natural language processing OWL Quality checks 



This research has been partially supported by the ITEA 2 Eureka Cluster Programme under the ModelWriter project (Grant 13028).


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Bikash Gyawali
    • 1
  • Anastasia Shimorina
    • 1
  • Claire Gardent
    • 1
    Email author
  • Samuel Cruz-Lara
    • 1
  • Mariem Mahfoudh
    • 1
  1. 1.CNRS/LORIANancyFrance

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