• DocumentCode
    1805770
  • Title

    Using Ontologies for Simulation Modeling

  • Author

    Benjamin, Perakath ; Patki, Mukul ; Mayer, Richard

  • Author_Institution
    Knowledge Based Syst., Inc., College Station, TX
  • fYear
    2006
  • fDate
    3-6 Dec. 2006
  • Firstpage
    1151
  • Lastpage
    1159
  • Abstract
    Ontological analysis has been shown to be an effective first step in the construction of robust knowledge based systems. However, the modeling and simulation community has not taken advantage of the benefits of ontology management methods and tools. Moreover, the popularity of semantic technologies and the semantic Web has provided several beneficial opportunities for the modeling and simulation communities of interest. This paper describes the role of ontologies in facilitating simulation modeling. It outlines the technical challenges in distributed simulation modeling and describes how ontology-based methods may be applied to address these challenges. The paper concludes by describing an ontology-based solution framework for simulation modeling and analysis and outlining the benefits of this solution approach
  • Keywords
    digital simulation; ontologies (artificial intelligence); semantic Web; distributed simulation modeling; knowledge based systems; ontological analysis; ontology management methods; semantic Web; Analytical models; Application software; Assembly systems; Intelligent systems; Knowledge based systems; Knowledge management; Ontologies; Protocols; Robustness; Semantic Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2006. WSC 06. Proceedings of the Winter
  • Conference_Location
    Monterey, CA
  • Print_ISBN
    1-4244-0500-9
  • Electronic_ISBN
    1-4244-0501-7
  • Type

    conf

  • DOI
    10.1109/WSC.2006.323206
  • Filename
    4117730