Evaluation has remained a major challenge for knowledge acquisition and little data is available on how experts actually use knowledge acquisition technology. A number of companies offer Ripple-Down Rules to enable on-going knowledge acquisition and maintenance while a system is in use. One of these companies, Pacific Knowledge Systems has logged user activity over a number of years. Data from these logs demonstrate that domain experts continue to add knowledge to a knowledge base over years. The logs also demonstrate that new knowledge can be added very rapidly regardless of knowledge base size or age. We assume that the on-going knowledge acquisition observed was driven by the need to make changes and encouraged and allowed by the ease of the knowledge acquisition technology used. The question arises of whether experts in other domains would also chose to continue to add knowledge to their knowledge bases if this was supported.

Item Type:	Refereed Conference Paper
Keywords:	knowledge acquisition, expert systems
Research Division:	Information and Computing Sciences
Research Group:	Artificial Intelligence and Image Processing
Research Field:	Artificial Intelligence and Image Processing not elsewhere classified
Objective Division:	Information and Communication Services
Objective Group:	Computer Software and Services
Objective Field:	Application Software Packages (excl. Computer Games)
UTAS Author:	Kim, YS (Dr Yang Kim)
ID Code:	94657
Year Published:	2011
Deposited By:	Information and Communication Technology
Deposited On:	2014-09-15
Last Modified:	2014-12-09
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