Title

Knowledge Acquisition and Knowledge Representation with Class: The Object-Oriented Paradigm

Document Type

Article

Publication Date

11-1-1998

Keywords

knowledge acquisition, object-oriented, graphical, knowledge representation

Digital Object Identifier (DOI)

http://dx.doi.org/10.1016/s0957-4174(98)00058-x

Abstract

Knowledge acquisition and knowledge representation are the fundamental building blocks of knowledge-based systems (KBSs). How to efficiently elicit knowledge from experts and transform this elicited knowledge into a machine usable format is a significant and time consuming problem for KBS developers. Object-orientation provides several solutions to persistent knowledge acquisition and knowledge representation problems including transportability, knowledge reuse, and knowledge growth. An automated graphical knowledge acquisition tool is presented, based upon object-oriented principles. The object-oriented graphical interface provides a modeling platform that is easily understood by experts and knowledge engineers. The object-oriented base for the automated KA tool provides a representation independent methodology that can easily be mapped into any other object-oriented expert system or other object-oriented intelligent tools.

Comments

This article was written before Steven Walczak was affiliated with the University of South Florida.

Was this content written or created while at USF?

false

Citation / Publisher Attribution

Expert Systems with Applications, v. 15, issues 3-4, p. 235-244