CLaRO: a Controlled Language for Authoring Competency Questions

Keet, C. Maria and Mahlaza, Zola and Antia, Mary-Jane (2019) CLaRO: a Controlled Language for Authoring Competency Questions, Proceedings of 13th Metadata and Semantics Research Conference (MTSR'19), 28-31 October 2019, Rome, Italy, Springer.

[img] PDF

Download (320kB)


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 \cqcnl~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. \cqcnl~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.

Item Type: Conference paper
Uncontrolled Keywords: controlled natural language, ontology engineering
Subjects: Computing methodologies > Artificial intelligence
Alternate Locations:,
Date Deposited: 01 Oct 2019
Last Modified: 10 Oct 2019 15:31

Actions (login required)

View Item View Item