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Knowledge Intensive CBR Made Affordable

In this paper we describe a domain independent architecture to help designing knowledge intensive CBR systems. It is based on knowledge acquisition from a library of applicationindependent ontologies and the use of CBROnto, an ontology with the common CBR terminology that guides the case representation and allows the description of flexible, generic and homogeneous CBR processes based on classification.