CLaRO is a data-driven CNL using 93 templates and 41 variants that covers about 90% of unseen competency questions for ontologies, while also flagging invalid questions.
In: Proceedings of the 2013 IEEE/WIC/ACM International Joint Confer- ences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Vol- ume 03
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CLaRO: a Data-driven CNL for Specifying Competency Questions
CLaRO is a data-driven CNL using 93 templates and 41 variants that covers about 90% of unseen competency questions for ontologies, while also flagging invalid questions.