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A Tagger for Glossary of Terms Extraction from Ontology Competency Questions

  • Dawid WisniewskiEmail author
  • Agnieszka Ławrynowicz
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11762)

Abstract

Competency Questions (CQs) are questions expressed in natural language aimed to indicate ontology’s scope, which are later formalized according to the language used to represent the ontology. One intermediate step that facilitates formalizing CQs, proposed in ontology engineering methodologies, is to extract so-called Glossary of Terms from them, which is so far a manual process. To automate this intermediate step, we propose a tagger, which for the given sequence of words, in a CQ, decides whether it should be considered as a suggestion of vocabulary (a class, an instance or a property) in the created ontology, and in this way being a good candidate entry to the Glossary of Terms. We also report about preliminary evaluation of the tagger.

Keywords

Ontology engineering Competency Questions Knowledge extraction 

References

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Faculty of ComputingPoznan University of TechnologyPoznańPoland
  2. 2.Center for Artificial Intelligence and Machine Learning (CAMIL)Poznan University of TechnologyPoznańPoland

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