Knowledge acquisition for alarm processing systems of nuclear power plants using documents analysis

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The knowledge acquisition is one of the most difficult and time-consuming activities in developing knowledge-based systems. In this work, we propose a novel knowledge acquisition method through documents analysis. The knowledge base can be built correctly, rapidly, and partially automatically by using this method. This method is especially useful when it is difficult to find domain experts. We apply this method to the knowledge acquisition for a simple dynamic alarm processing system (DAPS) for nuclear power plants and develop the alarm knowledge acquisition system (AKAS) for DAPS by using G2. (C) 1998 Elsevier Science Ltd. All rights reserved.
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Issue Date
1999-01
Language
ENG
Article Type
Article
Citation

ANNALS OF NUCLEAR ENERGY, v.26, no.2, pp.111 - 122

ISSN
0306-4549
URI
http://hdl.handle.net/10203/69770
Appears in Collection
NE-Journal Papers(저널논문)
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