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A knowledge engineer based on natural language understanding for an expert system: DOMES

Published online by Cambridge University Press:  27 February 2009

B. Yang  and
P. Datseris
B. Yang
Affiliation:
Department of Technology, Eastern Kentucky University, Richmond, KY 40475, U.S.A.
P. Datseris
Affiliation:
Department of Mechanical Engineering and Applied Mechanics, University of Rhode Island, Kingston, RI 02881, U.S.A.
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Abstract

In order to enhance the knowledge acquisition capability of the expert system DOMES (Design Of Mechanisms by an Expert System), which is developed at the University of Rhode Island for creative type synthesis of mechanisms, methodologies have been developed to build a knowledge engineer module based on natural language understanding. Specifically, artificial intelligence concepts and Lisp programming techniques have been incorporated in this module to implement the following: (1) analysing and understanding design criteria supplied by human designers in the form of English sentences; and (2) transforming these design criteria into Lisp code and storing them in the knowledge base of DOMES. This knowledge engineer module enhances the capability and improves the performance of the expert system DOMES by providing an effective means for knowledge acquisition based on natural language understanding. The concepts and implementation techniques in developing this module are general and can also be utilized for other knowledge-based systems.

Information

Type
Research Article
Information
AI EDAM , Volume 5 , Issue 2 , May 1991 , pp. 97 - 107
Copyright
Copyright © Cambridge University Press 1991

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