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A module‐based conceptual framework for largescale expert systems

Rajeev Kaula (College of Business Administration, Southwest Missouri State University, USA.)
Leslie C. Lander (Thomas J. Watson School of Engineering and Applied Science, State University of New York, Binghamton, New York, USA.)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 1 March 1995

360

Abstract

Increasing utilization of expert systems in organizations has necessitated development of large‐scale expert systems that deal with complex problem domains requiring handling of large knowledge bases. Adapts the concepts and structures of open information systems to outline a conceptual framework for large‐scale expert system development called an open‐based expert system (OES) architecture. The framework proposes partitioning large‐scale expert systems development into smaller and autonomous expert system modules which communicate through a flexible interface. The expert system modules may be built small enough to achieve reliability, and the open structure of the architecture allows the modules to be incorporated into a larger information system. The OES architecture is implemented on vp‐expert shell, and a prototype is developed to demonstrate its working.

Keywords

Citation

Kaula, R. and Lander, L.C. (1995), "A module‐based conceptual framework for largescale expert systems", Industrial Management & Data Systems, Vol. 95 No. 2, pp. 15-23. https://doi.org/10.1108/02635579510082511

Publisher

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MCB UP Ltd

Copyright © 1995, Company

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