• DocumentCode
    2044830
  • Title

    Product-Design Knowledge Retrieval Based on Ontology and Rule

  • Author

    Si, Chen ; Yan, Yan ; Guoxin, Wang ; Jia, Hao

  • Author_Institution
    Sch. of Mech. Eng., Beijing Inst. of Technol., Beijing, China
  • Volume
    2
  • fYear
    2010
  • fDate
    19-21 March 2010
  • Firstpage
    285
  • Lastpage
    289
  • Abstract
    In order to improve the recall ratio and precision ratio in knowledge retrieval of the product-design process, a semantic-oriented framework of product-design knowledge retrieval is presented. In this framework, the rule model is established to improve the ability of intelligent inference and solve the problem of polysemy. Then ontology model is established to improve the ability of semantic extension and solve the problem of generalization and synonym. Finally, the process of a typical product as a research object is studied. Based on that, a knowledge management system is developed. The effectiveness and feasibility of this method is validated.
  • Keywords
    CAD; inference mechanisms; information retrieval; knowledge management; ontologies (artificial intelligence); production engineering computing; generalization problem; intelligent inference; knowledge management system; ontology model; polysemy problem; product-design knowledge retrieval; rule model; synonym problem; Animals; Application software; Computer applications; Inference algorithms; Information retrieval; Knowledge engineering; Knowledge management; Manufacturing; Mechanical engineering; Ontologies; intelligent inference; knowledge retrieval; ontology; rule; semantic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering and Applications (ICCEA), 2010 Second International Conference on
  • Conference_Location
    Bali Island
  • Print_ISBN
    978-1-4244-6079-3
  • Electronic_ISBN
    978-1-4244-6080-9
  • Type

    conf

  • DOI
    10.1109/ICCEA.2010.207
  • Filename
    5445657