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.
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d’Aquin, M., Lieber, J., Napoli, A. (2005). Decentralized Case-Based Reasoning for the Semantic Web. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds) The Semantic Web – ISWC 2005. ISWC 2005. Lecture Notes in Computer Science, vol 3729. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11574620_13
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DOI: https://doi.org/10.1007/11574620_13
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