Decentralized case-based reasoning for the semantic web

  • Authors:
  • Mathieu d'Aquin;Jean Lieber;Amedeo Napoli

  • Affiliations:
  • LORIA (INRIA Lorraine, CNRS, Nancy Universities), Vandœuvre-lès-Nancy, France;LORIA (INRIA Lorraine, CNRS, Nancy Universities), Vandœuvre-lès-Nancy, France;LORIA (INRIA Lorraine, CNRS, Nancy Universities), Vandœuvre-lès-Nancy, France

  • Venue:
  • ISWC'05 Proceedings of the 4th international conference on The Semantic Web
  • Year:
  • 2005

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Abstract

Decentralized case-based reasoning (DzCBR) is a reasoning framework that addresses the problem of adaptive reasoning in a multi-ontology environment. It is a case-based reasoning (CBR) approach which relies on contextualized ontologies in the C-OWL formalism for the representation of domain knowledge and adaptation knowledge. A context in C-OWL is used to represent a particular viewpoint, containing the knowledge needed to solve a particular local problem. Semantic relations between contexts and the associated reasoning mechanisms allow the CBR process in a particular viewpoint to reuse and share information about the problem and the already found solutions in the other viewpoints.