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.

• Type: Conference
• Year: 2005
• Where: SEMWEB
• Authors: Mathieu d'Aquin, Jean Lieber, Amedeo Napoli
• Keywords: Case-based Reasoning, Particular Viewpoint, Reasoning, SEMWEB 2005