The African Wildlife Ontology tutorial ontologies: requirements, design, and content
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Abstract (arXiv)
Background. Most tutorial ontologies focus on illustrating one aspect of ontology development, notably language features and automated reasoners, but ignore ontology development factors, such as emergent modelling guidelines and ontological principles. Yet, novices replicate examples from the exercises they carry out. Not providing good examples holistically causes the propagation of sub-optimal ontology development, which may negatively affect the quality of a real domain ontology. Results. We identified 22 requirements that a good tutorial ontology should satisfy regarding subject domain, logics and reasoning, and engineering aspects. We developed a set of ontologies about African Wildlife to serve as tutorial ontologies. A majority of the requirements have been met with the set of African Wildlife Ontology tutorial ontologies, which are introduced in this paper. The African Wildlife Ontology is mature and has been used yearly in an ontology engineering course or tutorial since 2010 and is included in a recent ontology engineering textbook with relevant examples and exercises. Conclusion. The African Wildlife Ontology provides a wide range of options concerning examples and exercises for ontology engineering well beyond illustrating only language features and automated reasoning. It assists in demonstrating tasks about ontology quality, such as alignment to a foundational ontology and satisfying competency questions, versioning, and multilingual ontologies.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 May 2019.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 1; 2025: 3; 2026: 1.
6 papers.
- 2024Discerning and Characterising Types of Competency Questions for Ontologiescited by 4
- 2025Bench4KE: Benchmarking Automated Competency Question Generationcited by 3
- 2021BigCQ: A large-scale synthetic dataset of competency question patterns formalized into SPARQL-OWL query templatescited by 2
- 2025Evaluating the Fitness of Ontologies for the Task of Question Generationcited by 0
- 2025VSPO: Validating Semantic Pitfalls in Ontology via LLM-Based CQ Generationcited by 0
- 2026CQ4OE: A benchmark for assessing LLM-assisted ontology generation from competency questionscited by 0
- 2026CQ4OE: A benchmark for assessing LLM-assisted ontology generation from competency questions22 Sep 2026
- 2025VSPO: Validating Semantic Pitfalls in Ontology via LLM-Based CQ Generation11 Nov 2025
- 2025Bench4KE: Benchmarking Automated Competency Question Generation30 May 2025
- 2025Evaluating the Fitness of Ontologies for the Task of Question Generation8 Apr 2025
- 2024Discerning and Characterising Types of Competency Questions for Ontologies18 Dec 2024
- 2021BigCQ: A large-scale synthetic dataset of competency question patterns formalized into SPARQL-OWL query templates20 May 2021