{"url":"/dataset/bigcq","name":"BigCQ","full_name":null,"description_markdown":"**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:\r\n\r\n- 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).\r\n- Allow to understand better the relation between human-language and ontology constructs.\r\n- 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.\r\n- Provide guidelines on how CQs can be constructed to target given modelling styles.","description_withheld":null,"homepage":"https://github.com/dwisniewski/BigCQ","introduced_date":"2021-05-20","introduced_date_note":null,"introduced_by":{"paper":"/paper/bigcq-a-large-scale-synthetic-dataset-of","title":"BigCQ: A large-scale synthetic dataset of competency question patterns formalized into SPARQL-OWL query templates","first_author":"Dawid Wiśniewski","url":null},"license":{"name":"MIT License","url":"https://github.com/dwisniewski/BigCQ/blob/main/LICENSE"},"modalities":[],"tasks":[],"languages":[],"variants":["BigCQ"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}