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A Tagger for Glossary of Terms Extraction from Ontology Competency Questions

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Part of the book series: Lecture Notes in Computer Science ((LNISA,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.

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Correspondence to Dawid Wisniewski .

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Wisniewski, D., Ławrynowicz, A. (2019). A Tagger for Glossary of Terms Extraction from Ontology Competency Questions. In: Hitzler, P., et al. The Semantic Web: ESWC 2019 Satellite Events. ESWC 2019. Lecture Notes in Computer Science(), vol 11762. Springer, Cham. https://doi.org/10.1007/978-3-030-32327-1_36

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  • DOI: https://doi.org/10.1007/978-3-030-32327-1_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-32326-4

  • Online ISBN: 978-3-030-32327-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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