Dataset of ontology competency questions to SPARQL-OWL queries translations

Potoniec, Jedrzej and Wisniewski, Dawid and Lawrynowicz, Agnieszka and Keet, C. Maria (2020) Dataset of ontology competency questions to SPARQL-OWL queries translations, Data in Brief, 29.

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Abstract

This data article reports on a new set of 234 competency questions for ontology development and their formalisation into a set of 131 SPARQL-OWL queries. This is the largest set of competency questions with their linked queries to date, covering several ontologies of different type in different subject domains developed by different groups of question authors and ontology developers. The dataset is focused specifically on the ontology TBox (terminological part). The dataset may serve as a manually created gold standard for testing and benchmarking, research into competency questions and querying ontologies, and tool development. The data is available in Mendeley Data. Its analysis is presented in “Analysis of Ontology Competency Questions and their formalizations in SPARQL-OWL” [15].

Item Type:	Journal article (online only)
Subjects:	Computing methodologies > Artificial intelligence > Knowledge representation and reasoning > Ontology engineering
Alternate Locations:	https://doi.org/10.1016/j.dib.2019.105098
Date Deposited:	01 Sep 2021 09:40
Last Modified:	01 Sep 2021 09:40
URI:	http://pubs.cs.uct.ac.za/id/eprint/1394

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