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Development of a Knowledge-Based Model Management System

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  • Ting-Peng Liang

    (University of Illinois, Urbana, Illinois)

Abstract

This paper presents a software architecture and a graph-based framework for developing knowledge-based model management systems. The architecture consists of three major components: a model utilization subsystem, a modeling subsystem, and an inference engine. The core of the system is the inference engine that applies the graph-based framework to drive the processes of model integration and selection. The graph-based framework includes a model representation scheme and reasoning mechanisms. The representation scheme depicts a set of data as a node, a set of functions as an edge, and a basic model as a combination of two nodes and one connecting edge. Based on this scheme, mechanisms for model integration and selection are discussed. These mechanisms enable a model management system to create composite models automatically. A prototype implemented in PROLOG is also presented to demonstrate the graph-based framework.

Suggested Citation

  • Ting-Peng Liang, 1988. "Development of a Knowledge-Based Model Management System," Operations Research, INFORMS, vol. 36(6), pages 849-863, December.
    • Handle: RePEc:inm:oropre:v:36:y:1988:i:6:p:849-863
    DOI: 10.1287/opre.36.6.849
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    Citations

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    Cited by:

    1. Therani Madhusudan, 2007. "A web services framework for distributed model management," Information Systems Frontiers, Springer, vol. 9(1), pages 9-27, March.
    2. Wong, Bo K. & Monaco, John A., 1995. "A bibliography of expert system applications for business (1984-1992)," European Journal of Operational Research, Elsevier, vol. 85(2), pages 416-432, September.
    3. Kaushal Chari, 2002. "Model Composition Using Filter Spaces," Information Systems Research, INFORMS, vol. 13(1), pages 15-35, March.
    4. Masud, Abu S. M. & Metcalf, Paul & Hommertzheim, Don, 1995. "A knowledge-based model management system for aircraft survivability analysis," European Journal of Operational Research, Elsevier, vol. 84(1), pages 47-59, July.
    5. Makowski, Marek, 2005. "A structured modeling technology," European Journal of Operational Research, Elsevier, vol. 166(3), pages 615-648, November.
    6. Mentzas, Gregory N., 1996. "Team coordination in decision support projects," European Journal of Operational Research, Elsevier, vol. 89(1), pages 70-85, February.
    7. Srinivasan, Ananth & Sundaram, David, 2000. "An object relational approach for the design of decision support systems," European Journal of Operational Research, Elsevier, vol. 127(3), pages 594-610, December.
    8. Hui Huang & Xueguang Chen & Zhiwu Wang, 2015. "Failure recovery in distributed model composition with intelligent assistance," Information Systems Frontiers, Springer, vol. 17(3), pages 673-689, June.

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