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2019 | OriginalPaper | Chapter

CLaRO: A Controlled Language for Authoring Competency Questions

Authors : C. Maria Keet, Zola Mahlaza, Mary-Jane Antia

Published in: Metadata and Semantic Research

Publisher: Springer International Publishing

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Abstract

Competency Questions (CQs) assist in the development and maintenance of ontologies and similar knowledge organisation systems. The absence of tools to support the authoring of CQs has hampered their effective use. The few existing question templates have limited coverage of sentence constructions and are restricted to OWL. We aim to address this by proposing the CLaRO template-based CNL to author CQs. For its design, we exploited a new dataset of 234 CQs that had been processed automatically into 106 patterns, which we analysed and used to design a template-based CNL, with an additional CNL model and XML serialisation. The CNL was evaluated, showing coverage of about 90% with the 93 templates and their 41 variants. CLaRO has the potential to facilitate streamlining formalising ontology content requirements and, given that about one third of the CQs in the test sets turned out to be invalid questions, assist in writing good questions.

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Title: CLaRO: A Controlled Language for Authoring Competency Questions
Authors: C. Maria Keet
Zola Mahlaza
Mary-Jane Antia
Publisher: Springer International Publishing
Book: Metadata and Semantic Research
Print ISBN: 978-3-030-36598-1

Electronic ISBN: 978-3-030-36599-8

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-36599-8_1

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