Repairing Ontologies via Axiom Weakening

Authors

  • Nicolas Troquard Faculty of Computer Science, Free University of Bozen-Bolzano
  • Roberto Confalonieri Smart Data Factory, Free University of Bozen-Bolzano
  • Pietro Galliani Faculty of Computer Science, Free University of Bozen-Bolzano
  • Rafael Peñaloza Faculty of Computer Science, Free University of Bozen-Bolzano
  • Daniele Porello Faculty of Computer Science, Free University of Bozen-Bolzano
  • Oliver Kutz Faculty of Computer Science, Free University of Bozen-Bolzano

Keywords:

repair, weakening, complexity

Abstract

Ontology engineering is a hard and error-prone task, in which small changes may lead to errors, or even produce an inconsistent ontology. As ontologies grow in size, the need for automated methods for repairing inconsistencies while preserving as much of the original knowledge as possible increases. Most previous approaches to this task are based on removing a few axioms from the ontology to regain consistency. We propose a new method based on weakening these axioms to make them less restrictive, employing the use of refinement operators. We introduce the theoretical framework for weakening DL ontologies, propose algorithms to repair ontologies based on the framework, and provide an analysis of the computational complexity. Through an empirical analysis made over real-life ontologies, we show that our approach preserves significantly more of the original knowledge of the ontology than removing axioms.

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Published

2018-04-25

How to Cite

Troquard, N., Confalonieri, R., Galliani, P., Peñaloza, R., Porello, D., & Kutz, O. (2018). Repairing Ontologies via Axiom Weakening. Proceedings of the AAAI Conference on Artificial Intelligence, 32(1). Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/11567

Issue

Section

AAAI Technical Track: Knowledge Representation and Reasoning