Indiana University Bloomington

Luddy School of Informatics, Computing, and Engineering

Technical Report TR525:
A Framework for Automated Construction and Transformation of Case-Based Reasoning Systems

Jing Ma, Arijit Sengupta and David Wilson
(Jul 1999), 24 pages pages
Case Based Reasoning systems have gained immense popularity over the recent years as problem-solving tools. Most case based reasoning systems, however, are developed essentially from scratch using proprietary systems and applications on a limited number of platforms. Although methods have been proposed to describe the structure of a case based reasoner, none of these have been very successful outside their application domains. In this paper, we first describe common methods for automating CBR system construction. We then describe a general model for common CBR implementation, and a framework of platform-independent construction of systems based on this model. We discuss an implementation of such a system using Java, and finally describe ways systems can be developed using this framework.

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