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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Díaz-Agudo, B., González-Calero, P.A. (2007). An Ontological Approach to Develop Knowledge Intensive CBR Systems. In: Sharman, R., Kishore, R., Ramesh, R. (eds) Ontologies. Integrated Series in Information Systems, vol 14. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-37022-4_7
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DOI: https://doi.org/10.1007/978-0-387-37022-4_7
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