Datasets › BigCQ

BigCQ

Introduced by Dawid Wiśniewski et al. in BigCQ: A large-scale synthetic dataset of competency question patterns formalized into SPARQL-OWL query templates20 May 2021 archive 2025-07-28

BigCQ is a dataset of Competency Question templates paired with SPARQL-OWL query templates. These represent templates of ontology requirements formalizations which are then translated into SPARQL-OWL query language used to query T-Box level of ontologies. Thus, such a dataset can be used in various scenarios regarding ontology authoring:

  • Provide a large scale dataset for automatization of CQ involving tasks (automatic extraction of Glossary of Terms from requirements, automatic translation of CQs into queries to check how mature given ontology is).
  • Allow to understand better the relation between human-language and ontology constructs.
  • Make Competency Question driven ontology authoring more popular, since, although CQs are suggested in many ontology design methodologies, there is very limited set of CQs made publicly available.
  • Provide guidelines on how CQs can be constructed to target given modelling styles.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

MIT License

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • BigCQ

1 variant name, as the archive lists them.

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