mlsanityData to 14 Oct 2026

An Experiment in Retrofitting Competency Questions for Existing Ontologies

arXiv 2311.05662 ↗First posted 9 Nov 2023cs.AIcited by 12

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Abstract (arXiv)

Competency Questions (CQs) are a form of ontology functional requirements expressed as natural language questions. Inspecting CQs together with the axioms in an ontology provides critical insights into the intended scope and applicability of the ontology. CQs also underpin a number of tasks in the development of ontologies e.g. ontology reuse, ontology testing, requirement specification, and the definition of patterns that implement such requirements. Although CQs are integral to the majority of ontology engineering methodologies, the practice of publishing CQs alongside the ontological artefacts is not widely observed by the community. In this context, we present an experiment in retrofitting CQs from existing ontologies. We propose RETROFIT-CQs, a method to extract candidate CQs directly from ontologies using Generative AI. In the paper we present the pipeline that facilitates the extraction of CQs by leveraging Large Language Models (LLMs) and we discuss its application to a number of existing ontologies.

Key facts. Cited by 12 papers in the map (data through 14 Oct 2026). Builds on 4 of its 29 references that are in the map. First posted on arXiv 9 Nov 2023.

Builds on

4 of 29 references.

References · 4

  1. 2022Training language models to follow instructions with human feedbackcited by 15,971
  2. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
  3. 2021Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processingcited by 2,234
  4. 2022Automatically Drafting Ontologies from Competency Questions with FrODOcited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 5; 2025: 4; 2026: 3.

12 papers.