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Decentralized Case-Based Reasoning for the Semantic Web

Mathieu d'Aquin 1 Jean Lieber 1 Amedeo Napoli 1 
1 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Decentralized case-based reasoning (DzCBR) is a reasoning framework that addresses the problemof adaptive reasoning in amulti-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 allowtheCBRprocess in a particular viewpoint to reuse and share information about the problem and the already found solutions in the other viewpoints.
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Contributor : Mathieu D'Aquin Connect in order to contact the contributor
Submitted on : Friday, September 30, 2005 - 5:19:37 PM
Last modification on : Wednesday, April 6, 2022 - 3:48:28 PM
Long-term archiving on: : Thursday, April 1, 2010 - 10:34:55 PM




Mathieu d'Aquin, Jean Lieber, Amedeo Napoli. Decentralized Case-Based Reasoning for the Semantic Web. 4th International Semantic Web Conference - ISWC 2005, Nov 2005, Galway/Irelande, pp.142-155, ⟨10.1007/11574620⟩. ⟨inria-00000376⟩



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