DocumentCode :
1417657
Title :
A composite object model of an urban water network based on multidisciplinary knowledge bases. I. Composite object modeling
Author :
Maeda, Yasunobu ; Ikeda, Saburo
Author_Institution :
Dept. of Syst. Eng., Shizuoka Univ., Japan
Volume :
26
Issue :
6
fYear :
1996
fDate :
11/1/1996 12:00:00 AM
Firstpage :
718
Lastpage :
727
Abstract :
In order to model an urban water network, modelers have to cope with the interdisciplinary nature of the water network. To deal with the interdisciplinary nature, we have developed composite object modeling, a framework for constructing models on the basis of multiple domain knowledge bases. This modeling framework utilizes not only multiple domain knowledge, but also interface knowledge that bridges or interprets across disciplinary gaps among domains. A programming method combining object-oriented programming and logic programming is used to implement models on the framework. This method enables modelers to separate descriptions of the static structure of the models and those of the simulation procedures. By using the framework, we have also developed a knowledge system RARCOM (risk assessment and risk communication support system), which aims to support risk assessment and risk communication about the carcinogenicity of drinking water in an urban water network
Keywords :
environmental science computing; knowledge based systems; logic programming; object-oriented programming; risk management; water supply; RARCOM; carcinogenicity; composite object model; drinking water; interface knowledge; knowledge system; logic programming; multidisciplinary knowledge bases; object-oriented programming; programming method; risk assessment and risk communication support system; urban water network; Bridges; Chemical hazards; Knowledge based systems; Knowledge engineering; Logic programming; Object oriented modeling; Object oriented programming; Risk management; Urban areas; Water pollution;
fLanguage :
English
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
Publisher :
ieee
ISSN :
1083-4427
Type :
jour
DOI :
10.1109/3468.541332
Filename :
541332
Link To Document :
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