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CLaRO: A Controlled Language for Authoring Competency Questions

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Metadata and Semantic Research (MTSR 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1057))

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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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Notes

  1. 1.

    https://github.com/CQ2SPARQLOWL/Dataset.

  2. 2.

    http://vicinity.iot.linkeddata.es/vicinity/; last accessed: 20 Dec. 2018.

  3. 3.

    page 4 of http://studentnet.cs.manchester.ac.uk/pgt/2014/COMP60421/slides/Week2-CQ.pdf; last accessed: 9-1-2019.

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Authors and Affiliations

  1. Department of Computer Science, University of Cape Town, Cape Town, South Africa

    C. Maria Keet, Zola Mahlaza & Mary-Jane Antia

Authors
  1. C. Maria Keet
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  2. Zola Mahlaza
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  3. Mary-Jane Antia
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Correspondence to C. Maria Keet .

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Editors and Affiliations

  1. International Hellenic University, Thessaloniki, Greece

    Emmanouel Garoufallou

  2. Guglielmo Marconi University, Rome, Italy

    Francesca Fallucchi

  3. Georg Eckert Institute – Leibniz Institute for International Textbook Research, Braunschweig, Germany

    Ernesto William De Luca

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Keet, C.M., Mahlaza, Z., Antia, MJ. (2019). CLaRO: A Controlled Language for Authoring Competency Questions. In: Garoufallou, E., Fallucchi, F., William De Luca, E. (eds) Metadata and Semantic Research. MTSR 2019. Communications in Computer and Information Science, vol 1057. Springer, Cham. https://doi.org/10.1007/978-3-030-36599-8_1

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  • DOI: https://doi.org/10.1007/978-3-030-36599-8_1

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  • Online ISBN: 978-3-030-36599-8

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