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

Document Type

Article

Date of Original Version

1-1-1991

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. © 1991, Cambridge University Press. All rights reserved.

Publication Title, e.g., Journal

Artificial Intelligence for Engineering, Design, Analysis and Manufacturing

Volume

5

Issue

2

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