A FRAMEWORK FOR THE COMPARATIVE-ANALYSIS AND EVALUATION OF KNOWLEDGE REPRESENTATION SCHEMES

This article sets forth a framework for comparing and evaluating knowl edge representation schemes based on the requirements for ''good'' rep resentation discussed in extant literature. The dimensions of the fram ework suggest that knowledge representation schemes should possess a s uitable mix of four basic considerations: Representational adequacy (V ariety of Expressiveness, Modularity, Semantics, and Organization of K nowledge); Inference Methods (Reasoning Strategies, Data, Control and Search Strategies); and Inference Requirements (Computational Efficien cy, Transparency of line of control, Completeness, and Consistency). A comparative analysis and evaluation of four popular knowledge represe ntation schemes - Logic, Production Rules, Semantic Nets, Frames - hig hlighting their strengths and weaknesses in the context of the framewo rk is furnished as evidence of its inherent validity and usefulness. I n conclusion, it is submitted that incorporating an appropriate blend of the various dimensions elucidated in this article could be a step t owards developing more flexible, dynamic, and valuable knowledge repre sentation schemes.