mlsanityData to 7 Oct 2026

Discerning and Characterising Types of Competency Questions for Ontologies

arXiv 2412.13688 ↗First posted 18 Dec 2024cs.AI cs.CLcited by 4

Not on the map. Why?

Abstract (arXiv)

Competency Questions (CQs) are widely used in ontology development by guiding, among others, the scoping and validation stages. However, very limited guidance exists for formulating CQs and assessing whether they are good CQs, leading to issues such as ambiguity and unusable formulations. To solve this, one requires insight into the nature of CQs for ontologies and their constituent parts, as well as which ones are not. We aim to contribute to such theoretical foundations in this paper, which is informed by analysing questions, their uses, and the myriad of ontology development tasks. This resulted in a first Model for Competency Questions, which comprises five main types of CQs, each with a different purpose: Scoping (SCQ), Validating (VCQ), Foundational (FCQ), Relationship (RCQ), and Metaproperty (MpCQ) questions. This model enhances the clarity of CQs and therewith aims to improve on the effectiveness of CQs in ontology development, thanks to their respective identifiable distinct constituent elements. We illustrate and evaluate them with a user story and demonstrate where which type can be used in ontology development tasks. To foster use and research, we created an annotated repository of 438 CQs, the Repository of Ontology Competency QuestionS (ROCQS), incorporating an existing CQ dataset and new CQs and CQ templates, which further demonstrate distinctions among types of CQs.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 3 of its 28 references that are in the map. First posted on arXiv 18 Dec 2024.

Builds on

3 of 28 references.

References · 3

  1. 2023An Experiment in Retrofitting Competency Questions for Existing Ontologiescited by 12
  2. 2019The African Wildlife Ontology tutorial ontologies: requirements, design, and contentcited by 6
  3. 2023Semantics, Ontology and Explanationcited by 2

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 2.

4 papers.