• DocumentCode
    3314075
  • Title

    A Conceptual Modeling Method for Critical Infrastructure Modeling

  • Author

    Sokolowski, John ; Turnitsa, Charles ; Diallo, Saikou

  • Author_Institution
    Old Dominion Univ., Norfolk
  • fYear
    2008
  • fDate
    13-16 April 2008
  • Firstpage
    203
  • Lastpage
    211
  • Abstract
    Conceptual Modeling often is perceived as a way of introducing the process of modeling a system, by concentrating on a reduced appreciation of that system, with a necessary reduction in the number of affecting variables and relations making up the model. As an alternative to this approach, rather than reduce the number of variables and relations, it has been found to be useful to include as many as possible variables and relations (resulting from a functional decomposition of a class of like systems) in a Potential Model (which represents the potential of all specific instances of the class of like systems), and then to move towards a Specific Model by applying contextual and situational values to the appropriate variables and relations that apply to the actual case. In so doing, the necessary reduction in variables and relations in moving from Potential Model to Specific Model allows the conceptual model to lead to further steps in the modeling process, ensuring that all relevance to the class of system is retained. This technique has been applied to a critical infrastructure modeling project, with both the method and results being presented here.
  • Keywords
    digital simulation; systems analysis; conceptual modeling method; critical infrastructure modeling; potential model; Analytical models; Context modeling; Data engineering; Data systems; Lattices; Terminology; concept analysis; conceptual modeling; critical infrastructure; lattice;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Symposium, 2008. ANSS 2008. 41st Annual
  • Conference_Location
    Ottawa, Ont.
  • ISSN
    1080-241X
  • Print_ISBN
    0-7695-3143-1
  • Type

    conf

  • DOI
    10.1109/ANSS-41.2008.31
  • Filename
    4494421