Title :
Conceptual Design Knowledge Retrieval, Reuse and Innovation Based on Case and Constraint
Author :
Kai-zhou Gao ; Quan-ke Pan ; Qiang-qiang Sun
Author_Institution :
Coll. of Comput. Sci., Liaocheng Univ., Liaocheng
Abstract :
This paper researches on knowledge retrieval, reuse and innovation in product conceptual design. First, userpsilas design requirement is translated and decomposed using function-method tree. Second, design case and constraint are used to describe a two-layer process of knowledge retrieval. One is to get the similarity of case function through matching function unitspsila attribute values that is weighted. Another, a similarity constraint retrieval algorithm is proposed for similarity case retrieval. And then, Patch case is defined. Patch case for userpsilas design requirement is attained through a patch algorithm. Knowledge reuse and innovation is based on patch case. At last, system framework and application are constructed to explain this process.
Keywords :
information retrieval; innovation management; knowledge management; pattern matching; product design; trees (mathematics); function-method tree; knowledge innovation; knowledge retrieval; knowledge reuse; matching function unit attribute value; patch algorithm; product conceptual design; similarity case retrieval; similarity constraint retrieval algorithm; Algorithm design and analysis; Application software; Computer science; Data mining; Educational institutions; Information retrieval; Knowledge management; Process design; Product design; Technological innovation; conceptual design; knowledge innovation; knowledge retrieval; knowledge reuse;
Conference_Titel :
Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3543-2
DOI :
10.1109/WKDD.2009.31