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
Link To Document :
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