Eliciting Knowledge and Transferring It Effectively to a Knowledge-Based System (1993)
| Venue: | IEEE Transactions on Knowledge and Data Engineering |
| Citations: | 32 - 10 self |
BibTeX
@ARTICLE{Gaines93elicitingknowledge,
author = {Brian R. Gaines and Mildred L. G. Shaw},
title = {Eliciting Knowledge and Transferring It Effectively to a Knowledge-Based System},
journal = {IEEE Transactions on Knowledge and Data Engineering},
year = {1993},
volume = {5},
pages = {4--14}
}
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Abstract
The knowledge acquisition bottleneck impeding the development of expert systems is being alleviated by the development of computer-based knowledge acquisition tools. These work directly with experts to elicit knowledge, and structure it appropriately to operate as a decision support tool within an expert system. However, the elicitation of expert knowledge and its effective transfer to a useful knowledge-based system is complex and involves a diversity of activities. This paper illustrates the complete development of a decision support system using knowledge acquisition tools. The example is simple enough to be completely analyzed but exhibits enough real-world characteristics to give significant insights into the processes and problems of knowledge engineering. 1 Introduction Knowledge acquisition for expert system development has come to be termed knowledge engineering, following Feigenbaum's (1980) use of the term to describe the reduction of a large body of knowledge to a precise...
