Eliciting Knowledge and Transferring It Effectively to a Knowledge-Based System.
Brian R. Gaines, Mildred L. G. Shaw:
Eliciting Knowledge and Transferring It Effectively to a Knowledge-Based System.
IEEE Trans. Knowl. Data Eng. 5(1): 4-14(1993)@article{DBLP:journals/tkde/GainesS93,
author = {Brian R. Gaines and
Mildred L. G. Shaw},
title = {Eliciting Knowledge and Transferring It Effectively to a Knowledge-Based
System},
journal = {IEEE Trans. Knowl. Data Eng.},
volume = {5},
number = {1},
year = {1993},
pages = {4-14},
ee = {db/journals/tkde/GainesS93.html},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
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.
Copyright © 1993 by The Institute of
Electrical and Electronic Engineers, Inc. (IEEE).
Abstract used with permission.
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BibTeX
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Referenced by
- Derek Batty, Mohamed S. Kamel:
Automating Knowledge Acquisition: A Propositional Approach to Representing Expertise as an Alternative to Repertory Grid Technique.
IEEE Trans. Knowl. Data Eng. 7(1): 53-67(1995)
BibTeX
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