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Ontologies pp 173–213Cite as

An Ontological Approach to Develop Knowledge Intensive CBR Systems

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Part of the book series: Integrated Series in Information Systems ((ISIS,volume 14))

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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Author information

Authors and Affiliations

  1. Facultad de Informática, Universidad Complutense de Madrid, Spain

    Belén Díaz-Agudo & Pedro A. González-Calero

Authors
  1. Belén Díaz-Agudo
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  2. Pedro A. González-Calero
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Editor information

Editors and Affiliations

  1. SUNY, Buffalo, New York, USA

    Raj Sharman , Rajiv Kishore  & Ram Ramesh ,  & 

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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

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-37019-4

  • Online ISBN: 978-0-387-37022-4

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