• DocumentCode
    2616718
  • Title

    From domain ontologies to modeling ontologies to executable simulation models

  • Author

    Silver, Gregory A. ; Hassan, O.A.-H. ; Miller, John A.

  • Author_Institution
    Univ. of Georgia, Athens
  • fYear
    2007
  • fDate
    9-12 Dec. 2007
  • Firstpage
    1108
  • Lastpage
    1117
  • Abstract
    Ontologies allow researchers, domain experts, and software agents to share a common understanding of the concepts and relationships of a domain. The past few years have seen the publication of ontologies for a large number of domains. The modeling and simulation community is beginning to see potential for using these ontologies in the modeling process. This paper presents a method for using the knowledge encoded in ontologies to facilitate the development of simulation models. It suggests a technique that establishes relationships between domain ontologies and a modeling ontology and then uses the relationships to instantiate a simulation model as ontology instances. Techniques for translating these instances into XML based markup languages and then into executable models for various software packages are also presented.
  • Keywords
    XML; discrete event simulation; ontologies (artificial intelligence); software agents; software packages; DES models; ODS design tool; XML based markup languages; discrete event simulation model; domain ontologies; modeling ontology; ontology driven simulation; software agents; software packages; Application software; Biological system modeling; Computational modeling; Computer architecture; Discrete event simulation; Medical services; OWL; Ontologies; Silver; Software agents;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2007 Winter
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4244-1306-5
  • Electronic_ISBN
    978-1-4244-1306-5
  • Type

    conf

  • DOI
    10.1109/WSC.2007.4419710
  • Filename
    4419710