BigCQ: Generating a Synthetic Set of Competency Questions Formalized into SPARQL-OWL (Student Abstract)
Keywords:SPARQL-OWL, Competency Questions, Ontology Requirements, SPARQL, Ontology Development, Template-based Method, Dataset, Synthetic Dataset, Automated Quality Assessment
AbstractWe present a method for constructing synthetic datasets of Competency Questions translated into SPARQL-OWL queries. This method is used to generate BigCQ, the largest set of CQ patterns and SPARQL-OWL templates that can provide translation examples to automate assessing the completeness and correctness of ontologies.
How to Cite
Wiśniewski, D., Potoniec, J., & Ławrynowicz, A. (2022). BigCQ: Generating a Synthetic Set of Competency Questions Formalized into SPARQL-OWL (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 36(11), 13079-13080. https://doi.org/10.1609/aaai.v36i11.21676
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