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Repairing Networks of EL_perp Ontologies using Weakening and Completing -- Extended version

arXiv 2407.18848 ↗First posted 26 Jul 2024cs.AI cs.LOcited by 0

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Abstract (arXiv)

The quality of ontologies and their alignments is crucial for developing high-quality semantics-based applications. Traditional debugging techniques repair ontology networks by removing unwanted axioms and mappings, but may thereby remove consequences that are correct in the domain of the ontology network. In this paper we propose a framework for repairing ontology networks that deals with this issue. It defines basic operations such as debugging, weakening and completing. Further, it defines combination operators that reflect choices in how and when to use the basic operators, as well as choices regarding the autonomy level of the ontologies and alignments in the ontology network. We show the influence of the combination operators on the quality of the repaired network and present an implemented tool. By using our framework together with existing algorithms for debugging, weakening and completing, we essentially provide a blueprint for extending previous work and systems.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 8 of its 42 references that are in the map. First posted on arXiv 26 Jul 2024.

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8 of 42 references.

References · 8

  1. 2020Knowledge Graphscited by 619
  2. 2023Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunitiescited by 10
  3. 2020Axiom Pinpointingcited by 7
  4. 2013Ontology alignment repair through modularization and confidence-based heuristicscited by 5
  5. 2017Repairing Ontologies via Axiom Weakeningcited by 5
  6. 2022Connection-minimal Abduction in EL via Translation to FOL -- Technical Reportcited by 5
  7. 2019Completing and Debugging Ontologies: state of the art and challengescited by 4
  8. 2022Repairing EL Ontologies Using Weakening and Completingcited by 3

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