Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1294
Title: Knowledge representation on design of storm drainage system
Authors: Chau, KW 
Cheung, CS 
Keywords: Knowledge based systems
Knowledge representation
Algorithms
Artificial intelligence
Heuristic methods
Object oriented programming
User interfaces
Drainage
Storms
Issue Date: 2004
Publisher: Springer-Verlag
Source: In B Orchard, C Yang, M Ali (Eds.), Innovations in applied artificial intelligence : 17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2004, Ottawa, Canada, May 17-20, 2004 : proceedings, p. 886-894. Berlin ; Hong Kong: Springer-Verlag, 2004 How to cite?
Series/Report no.: Lecture notes in artificial intelligence ; v. 3029
Abstract: During the design of storm drainage system, many decisions are involved on the basis of rules of thumb, heuristics, judgment, code of practice and previous experience of the designer. It is a suitable application field for application of the recent artificial intelligence technology. This paper presents the knowledge representation of the design of storm drainage system in a prototype knowledge-based system. Blackboard architecture with hybrid knowledge representation techniques including production rule system and object-oriented approach is adopted. Through custom-built interactive and user-friendly user interfaces, it furnishes designers with entailed expertise in this domain problem.
URI: http://hdl.handle.net/10397/1294
ISBN: 978-3-540-22007-7
DOI: 10.1007/978-3-540-24677-0_91
Rights: © Springer-Verlag Berlin Heidelberg 2004. The original publication is available at http://www.springerlink.com.
Appears in Collections:Book Chapter

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