Electronic Resource
Oxford, UK
:
Blackwell Publishing Ltd
Expert systems
13 (1996), S. 0
ISSN:
1468-0394
Source:
Blackwell Publishing Journal Backfiles 1879-2005
Topics:
Computer Science
Notes:
This paper describes a computer based approach to comparing data obtained for Knowledge Based Systems via established but very varied knowledge elicitation (KE) techniques. It describes not only the detailed comparison of different KE methods (in this case ‘scaling’ and ‘non-scaling’) but also investigates the use of ‘demonstration’ or ‘evaluation’ systems, as a variation on the more established rapid prototyping approaches to the elicitation and evaluation of knowledge for KBS construction, in this case by focusing upon the quality and relevance of the elicited knowledge from the perspective of the expert himself. Preliminary results from the study reported here suggest that non-scaling methods produce a greater amount of raw data than scaling methods, and that this data is less likely to require correction or modification for inclusion within a Knowledge Based System. However, the results also indicate that non-scaling derived data is more likely than scaling derived data data to be rejected outright.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1111/j.1468-0394.1996.tb00125.x
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