DocumentCode :
3389068
Title :
Knowledge acquisition in image processing expert system ´EXPLAIN´
Author :
Tanaka, Toshikazu ; Sueda, Naomichi
Author_Institution :
Toshiba Corp., Kanagawa, Japan
fYear :
1988
fDate :
25-27 May 1988
Firstpage :
267
Lastpage :
272
Abstract :
A knowledge-acquisition facility has been incorporated into an expert system called EXPLAIN, which assists the nonexpert in using a package of image-processing algorithms to obtain a required image from a given one. It captures knowledge of image-processing procedures through interaction between the domain expert and the system. The authors discuss the method and its features: stimulative interview and rule generalization. A stimulative way of interviewing using analogical reasoning reduces the difficulty for the expert to elicit deeply and unconsciously embedded knowledge. The process of decomposing a successful sequence of image processing by the expert creates generalized rules in a natural manner.<>
Keywords :
computerised picture processing; expert systems; knowledge acquisition; EXPLAIN; analogical reasoning; deep knowledge; domain expert; image processing expert system; image processing sequence decomposition; knowledge-acquisition facility; rule generalization; stimulative interview; unconsciously embedded knowledge; Colored noise; Expert systems; Image databases; Image processing; Knowledge acquisition; Knowledge management; Laboratories; Packaging; Shape; Software engineering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence for Industrial Applications, 1988. IEEE AI '88., Proceedings of the International Workshop on
Conference_Location :
Hitachi City, Japan
Type :
conf
DOI :
10.1109/AIIA.1988.13304
Filename :
13304
Link To Document :
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