Completing and Debugging Ontologies: state of the art and challenges
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Abstract (arXiv)
As semantically-enabled applications require high-quality ontologies, developing and maintaining ontologies that are as correct and complete as possible is an important although difficult task in ontology engineering. A key step is ontology debugging and completion. In general, there are two steps: detecting defects and repairing defects. In this paper we discuss the state of the art regarding the repairing step. We do this by formalizing the repairing step as an abduction problem and situating the state of the art with respect to this framework. We show that there are still many open research problems and show opportunities for further work and advancing the field.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Aug 2019.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 2; 2025: 1.
4 papers.
- 2022Repairing EL Ontologies Using Weakening and Completingcited by 3
- 2025Dealing with Inconsistency for Reasoning over Knowledge Graphs: A Surveycited by 2
- 2024Evaluating Class Membership Relations in Knowledge Graphs using Large Language Modelscited by 0
- 2024Repairing Networks of EL_perp Ontologies using Weakening and Completing -- Extended versioncited by 0
- 2025Dealing with Inconsistency for Reasoning over Knowledge Graphs: A Survey26 Feb 2025
- 2024Repairing Networks of EL_perp Ontologies using Weakening and Completing -- Extended version26 Jul 2024
- 2024Evaluating Class Membership Relations in Knowledge Graphs using Large Language Models25 Apr 2024
- 2022Repairing EL Ontologies Using Weakening and Completing31 Jul 2022