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Knowledge Engineering. Applying Rule-based Expert System to Develop an Intelligent Collaborative Design Platform Professor: Dr Amy J.C. Members: 917807 Allen Tzu-An Chiang 913838 Chris Wen-Chu Tseng. Introduction. The business models of company operations have changed
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Knowledge Engineering Applying Rule-based Expert System to Develop an Intelligent Collaborative Design Platform Professor: Dr Amy J.C. Members: 917807 Allen Tzu-An Chiang 913838 Chris Wen-Chu Tseng
Introduction • The business models of company operations have changed • Enterprises focus on their core value chain. • Product development has become an collaborative team work. • The paper provides an intelligent collaborative design platform.
The architecture of Intelligent Collaborative Design Platform • Knowledge source level • Inference and knowledge base level • Collaborative design level
Knowledge Source level • Knowledge engineers transfer expertise from experts into heuristic rules. • Knowledge engineers input knowledge via Internet. • Rules • Templates • Facts
The inference and knowledge base level • Knowledge base • JESS inference engine • Blackboard
The Collaborative Design Level • Project manager can audit the product design • To validate modules detail design whether to satisfy design constraints. • To validate all modules whether the product have any problem among modules.
