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A system development methodology for knowledge-based systems

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2 Author(s)
J. R. Weitzel ; Sch. of Inf. Studies, Syracuse Univ., NY, USA ; L. Kerschberg

Phased linear system-development methodologies inadequately address the problems of knowledge acquisition and engineering. A different approach, detailed and systematic, to building knowledge-based systems is presented, namely a knowledge-based system development life cycle. This specially tailored prototyping methodology replaces traditional phases and stages with `processes'. Processes are activated, deactivated, and reactivated dynamically as needed during system development, thereby allowing knowledge engineers to iteratively define, develop, refine, and test an evolutionary knowledge/data representation. A case study in which this method was used is presented in which Blue Cross/Blue Shield of South Carolina and the Institute of Information Management, Technology, and Policy at the College of Business Administration, University of South Carolina, initiated a joint venture to automate the review process for medical insurance claims

Published in:

IEEE Transactions on Systems, Man, and Cybernetics  (Volume:19 ,  Issue: 3 )