• DocumentCode
    724380
  • Title

    Context computing based component selection for pragmatic composition

  • Author

    Hu Peng ; Shen Jianjing ; Tao Linbo ; Guo Jia

  • Author_Institution
    Sch. of Arts & Sci., Inf. Eng. Univ., Zhengzhou, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    4021
  • Lastpage
    4024
  • Abstract
    Syntactic and semantic composition has problem in achieving the integrity, validity and practicability of simulation component composition. In view of this, this paper analyzes pragmatic composition and simulation context, and proposes the formal definition of simulation Component Context Space (CCS), as well as the approach of component selection based on CCS matching degree, including concept semantic matching degree and value matching degree. The application of the context computing of the simulation component composition shows that, it can provide quantifiable, intuitive basis for component discovery and composition verification on pragmatic level.
  • Keywords
    object-oriented programming; open systems; CCS matching degree; concept semantic matching degree; context computing based component selection; formal definition; pragmatic composition; semantic composition; simulation component composition; simulation component context space; syntactic composition; value matching degree; Context; Component; Composition; Context; Pragmatic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162626
  • Filename
    7162626