DocumentCode
509204
Title
Knowledge Discovery and Modeling Approach for Manufacturing Enterprises
Author
Liandong, Zhou ; Qifeng, Wang
Author_Institution
Bus. Sch., Zhejiang Wanli Univ., Ningbo, China
Volume
1
fYear
2009
fDate
21-22 Nov. 2009
Firstpage
291
Lastpage
294
Abstract
Implementing of knowledge management in manufacturing processes is an important way to improve the manufacturing efficiency and profit for manufacturing enterprises. Based on the analysis of problems of knowledge discovery and knowledge description existed in knowledge management fields in manufacturing enterprises, an integrated multi-channel manufacturing knowledge discovery and acquisition approach is studied in this paper, which efficiently integrated the algorithms and methods for knowledge discovery and acquisition. Furthermore, a five-view manufacturing knowledge modeling approach is provided form the points of knowledge specified description and business process integration, and the manufacturing knowledge modeling is realized by OWL.
Keywords
data mining; knowledge management; manufacturing data processing; ontologies (artificial intelligence); OWL; business process integration; knowledge acquisition; knowledge description; knowledge discovery; knowledge management; knowledge modeling; manufacturing efficiency; manufacturing enterprises; Algorithm design and analysis; Clustering algorithms; Information technology; Knowledge management; Manufacturing industries; Manufacturing processes; OWL; Ontologies; Pulp manufacturing; Virtual manufacturing; Knowledge Discovery; Knowledge Modeling; Manufacturing Process;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location
Nanchang
Print_ISBN
978-0-7695-3859-4
Type
conf
DOI
10.1109/IITA.2009.46
Filename
5369650
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