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Chapter

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Title

A Tagger for Glossary of Terms Extraction from Ontology Competency Questions

Authors

[ 1 ] Instytut Informatyki, Wydział Informatyki, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2019

Chapter type

chapter in monograph / paper

Publication language

english

Keywords
EN
  • ontology engineering
  • Competency Questions
  • knowledge extraction
Abstract

EN 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.

Date of online publication

10.10.2019

Pages (from - to)

181 - 185

DOI

10.1007/978-3-030-32327-1_36

URL

https://link.springer.com/chapter/10.1007/978-3-030-32327-1_36

Book

The Semantic Web: ESWC 2019 Satellite Events : ESWC 2019 Satellite Events, Portorož, Slovenia, June 2–6, 2019 : Revised Selected Papers

Presented on

16th Extended Semantic Web Conference, ESWC 2019, 2-6.06.2019, Portorož, Slovenia

Ministry points / chapter

20

Ministry points / conference (CORE)

140

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