• 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