• DocumentCode
    510258
  • Title

    A UML-Based Describing and Organizing Approach for Complex Domain Knowledge and its Usage in Composite Materials Manufacture

  • Author

    Wei, Hui ; Ma, Yan

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Fudan Univ., Shanghai, China
  • Volume
    3
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    277
  • Lastpage
    281
  • Abstract
    Knowledge representation (KR) is critical to establish effective knowledge-based systems (KBSs) and closely linked with knowledge reasoning and the extension of a KBS. At the same time, KR is the bottleneck that all knowledge engineers face, especially in representing complex domain knowledge. This paper proposes a new approach based on unified modeling language (UML) which takes knowledge as a process of system analyst and description in the perspective of object-oriented ideology. UML, with abundant assistance tools, is characterized by its reliable, mature syntax and provides favorable structure and strong expressiveness capacity. Furthermore, this paper takes composite materials manufacture area for example and introduces knowledge classifications and UML models they are represented with.
  • Keywords
    Unified Modeling Language; composite materials; knowledge based systems; knowledge representation; object-oriented methods; production engineering computing; UML-based describing approach; UML-based organizing approach; complex domain knowledge; composite materials manufacture; knowledge reasoning; knowledge representation; knowledge-based systems; object-oriented ideology; system analyst; system description; unified modeling language; Composite materials; Knowledge based systems; Knowledge engineering; Knowledge representation; Object oriented modeling; Organizing; Pulp manufacturing; Reliability engineering; Unified modeling language; Virtual manufacturing; Knowledge Based Systems; Knowledge Representation; UML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.65
  • Filename
    5376650