Restructuring and optimizing knowledge representations

Abstract

This paper focuses on three different formalisms which play a major role in the development of knowledge based systems, decision trees, decision tables and rules, and how the formalisms appear in the main areas of knowledge acquisition, knowledge representation and knowledge implementation. It demonstrates that the decision tables, trees or rules in the distinct stages serve different purposes in the development of knowledge based systems and therefore will not necessarily remain unchanged. Restructuring and even optimizing representation formalisms is therefore necessary. Transitions and optimizations of the different formalisms are described in the context of their automation in the Prologa workbench.<>