Scheduled System Maintenance:
On Monday, April 27th, IEEE Xplore will undergo scheduled maintenance from 1:00 PM - 3:00 PM ET (17:00 - 19:00 UTC). No interruption in service is anticipated.
By Topic

Specialized knowledge acquisition tool support compared to manual development-a case study

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Eriksson, H. ; Dept. of Comput. & Inf. Sci., Linkoping Univ., Sweden

A case study into the effect of applying a domain-oriented knowledge acquisition (KA) tool to an expert system project is presented. A KA tool that acquires knowledge for experiment planning has been implemented. The effects of applying this tool have been evaluated and compared to manual development by conventional means. A manually acquired knowledge base has been used as a reference. To give an appropriate background, brief descriptions of the domain, the expert system and the KA tool are provided. Lessons learned considering productivity, flexibility, training needed, etc. are the main topics discussed. A salient result from this study is that the effort required to implement the KA tool, compared to the effort for the corresponding expert system, is lower than expected. Specialized KA tools may even prove to be economical for single applications

Published in:

Artificial Intelligence Applications, 1991. Proceedings., Seventh IEEE Conference on  (Volume:i )

Date of Conference:

24-28 Feb 1991