Decentralized case-based reasoning for the semantic Web

d'Aquin, Mathieu; Lieber, Jean and Napoli, Amedeo (2005). Decentralized case-based reasoning for the semantic Web. In: The Semantic Web - ISWC 2005: 4th International Semantic Web Conference, ISWC 2005, Galway, Ireland, November 6-10, 2005, Proceedings (Gil, Yolanda; Motta, Enrico; Benjamins, V. Richard and Musen, Mark A. eds.), Lecture Notes in Computer Science, Springer, pp. 142–155.



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.

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