Abstract
Our approach to Case Based Reasoning (CBR) is towards integrated applications that combine case specific knowledge with models of general domain knowledge. In this paper, we describe a domain independent architecture to help in the design of knowledge intensive CBR systems. It is based on knowledge acquisition from a library of application-independent ontologies and the use of CBROnto, ontology with the common CBR terminology that guides case representation; allows the description of flexible, generic and reusable CBR Problem Solving Methods; and allows to reason about the description of CBR systems.
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