An argumentation machinery to reason over inconsistent ontologies

  • Authors:
  • Martín O. Moguillansky;Renata Wassermann;Marcelo A. Falappa

  • Affiliations:
  • CONICET, AI R&D Lab, LIDIA, Universidad Nacional del Sur, Argentina;Department of Computer Science, University of São Paulo, Brazil;CONICET, AI R&D Lab, LIDIA, Universidad Nacional del Sur, Argentina

  • Venue:
  • IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
  • Year:
  • 2010

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Abstract

Widely accepted argumentation techniques are adapted to define a non-standard description logic (DL) reasoning machinery. A DL-based argumentation framework is introduced to reason about potentially inconsistent ontologies. Arguments in this framework can handle different DL families like ALC, εL, and DL-Lite. Afterwards, we propose an algorithm based on debugging techniques and classical tableau-based ALC satisfiability to build arguments, and discuss about the computational cost of reasoning through the proposed machinery.