Naitonal Chiao Tung University
Hsinchu, 300, Taiwan, R.O.C.
Knowledge acquistion is known to be a critical bottleneck for building expert systems. One of the most difficult problems of knowledge acquisition is to integrate domain knowledge from multiple experts, especially when inconsistencies and conflicts need to be resolved. In this paper, a knowledge acquisition method, MERGE, is proposed to cope with this problem. Some experimental results of a practical application, Differential Diagnosis of Common Causes of Inflamed Eye, have shown that MERGE is able to enrich the elicited knowledge and improve the performance of the construted expert systems by integrating expertise from multiple experts.
Keywords: knowledge acquisition, repertory grid, expert system, knowledge integration
Received April 2, 1993; revised October 2, 1993.
Communicated by Shing-Tsaan Huang.
*The original version of this paper was presented at the Fourht International Conference on Computing and Information, toronto, Ontario, Canada, May 1992.
This study was supported by the National Science Council of the Repubic of China under contract NSC82-0113-E009-295-T.