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2005
Springer

Decentralized Case-Based Reasoning for the Semantic Web

12 years 1 months ago
Decentralized Case-Based Reasoning for the Semantic Web
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.
Mathieu d'Aquin, Jean Lieber, Amedeo Napoli
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where SEMWEB
Authors Mathieu d'Aquin, Jean Lieber, Amedeo Napoli
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