A decomposition-based approach to OWL DL ontology diagnosis

Jianfeng Du*, Guilin Qi, Jeff Z. Pan, Yi Dong Shen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Computing all diagnoses of an inconsistent ontology is important in ontology-based applications. However, the number of diagnoses can be very large. It is impractical to enumerate all diagnoses before identifying the target one to render the ontology consistent. Hence, we propose to represent all diagnoses by multiple sets of partial diagnoses, where the total number of partial diagnoses can be small and the target diagnosis can be directly retrieved from these partial diagnoses. We also propose methods for computing the new representation of all diagnoses in an OWL DL ontology. Experimental results show that computing the new representation of all diagnoses is much easier than directly computing all diagnoses.

Original languageEnglish
Title of host publicationProceedings - 2011 23rd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2011
Pages659-664
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2011
Event23rd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2011 - Boca Raton, FL, United States
Duration: 7 Nov 20119 Nov 2011

Conference

Conference23rd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2011
CountryUnited States
CityBoca Raton, FL
Period7/11/119/11/11

Keywords

  • Decomposition
  • Description logics
  • Inconsistency handling
  • Ontology diagnosis
  • OWL DL

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Computer Science Applications

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  • Cite this

    Du, J., Qi, G., Pan, J. Z., & Shen, Y. D. (2011). A decomposition-based approach to OWL DL ontology diagnosis. In Proceedings - 2011 23rd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2011 (pp. 659-664). [6103395] https://doi.org/10.1109/ICTAI.2011.104