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Published in:
2008 | OriginalPaper | Chapter
Extracting Failure Knowledge with Associative Search
Authors : Masayuki Nakao, Kensuke Tsuchiya, Yoshiaki Harita, Kenji Iino, Hiroshi Kinukawa, Satoshi Kawagoe, Yuji Koike, Akihiko Takano
Published in: New Frontiers in Artificial Intelligence
Publisher: Springer Berlin Heidelberg
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We applied associative OR search on a Failure Knowledge Database with 1,242 failure accidents and 41 failure scenarios in the book “100 Scenarios of Failure” to find cases most analogous to risks that engineers were concerned with. Ninety engineers provided 203 input cases of risk concerns and the search for accidents most analogous to each input returned the most analogous accidents for 64% of the input cases of risk concerns within several minutes. Analogous scenario searches returned the most analogous scenarios for 63% of the input. Regular keyword AND searches take tens of minutes to narrow down the candidates to a few analogous cases, and thus associative search is a more effective tool for risk management.