An Ontological Approach to Develop Knowledge Intensive CBR Systems

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.