Knowledge Acquisition and Knowledge Representation with Class: The Object-Oriented Paradigm
Document Type
Article
Publication Date
11-1998
Keywords
knowledge acquisition, object-oriented, graphical, knowledge representation
Digital Object Identifier (DOI)
https://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.
Was this content written or created while at USF?
No
Citation / Publisher Attribution
Expert Systems with Applications, v. 15, issues 3-4, p. 235-244
Scholar Commons Citation
Walczak, Steven, "Knowledge Acquisition and Knowledge Representation with Class: The Object-Oriented Paradigm" (1998). School of Information Faculty Publications. 213.
https://digitalcommons.usf.edu/si_facpub/213
