Abstract
Decentralized case-based reasoning (DzCBR) is a reasoning frame-work 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. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
D’Aquin, M., Lieber, J., & Napoli, A. (2005). Decentralized case-based reasoning for the semantic web. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3729 LNCS, pp. 142–155). https://doi.org/10.1007/11574620_13
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