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Meta-Modeling Concepts and Tools for Model Management: A Systems Approach

Author

Listed:
  • Waleed A. Muhanna

    (Department of Accounting and Management Information Systems, College of Business, The Ohio State University, 1775 College Road, Columbus, Ohio 43210-1399)

  • Roger Alan Pick

    (Henry W. Bloch School of Business and Public Administration, University of Missouri---Kansas City, Kansas City, Missouri 64110-2499)

Abstract

We present a new framework for model management based on system concepts and theory. Underlying the framework is a set of meta-modeling concepts that are useful in capturing the semantics of the modeling process in a modeling environment. These concepts include the notions of a general-model type, type specialization, atomic and composite model versions, model instances, and parameterized versions. We describe these concepts both conceptually and formally and then briefly present a Model Description Language (MDL) that embodies them. While other researchers have suggested some of these concepts primarily in different contexts, this paper makes at least four valuable contributions: (1) the identification of fundamental issues and principles related to model management; (2) the development and enhanced treatment of meta-modeling concepts specifically for model management; (3) the synthesis of those concepts into a coherent, unifying framework for model management; and (4) a demonstration of the practicality of those concepts through a prototype system implementation. Our framework proposes a graph-oriented, nonprocedural, and hierarchical approach for model composition. The framework also supports both model-solver independence and model-data independence. Moreover, it offers general solutions to two critical issues in model management: model-model linkage and model-data linkage. We argue that the system framework can serve as a guide for an effective design of a flexible and extensible model management system. An architecture of such a system and its prototype implementation---called SYMMS---are briefly described. Examples are presented to illustrate the features and advantages of our approach.

Suggested Citation

  • Waleed A. Muhanna & Roger Alan Pick, 1994. "Meta-Modeling Concepts and Tools for Model Management: A Systems Approach," Management Science, INFORMS, vol. 40(9), pages 1093-1123, September.
    • Handle: RePEc:inm:ormnsc:v:40:y:1994:i:9:p:1093-1123
    DOI: 10.1287/mnsc.40.9.1093
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    Citations

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    Cited by:

    1. Amit V. Deokar & Omar F. El-Gayar, 2011. "Decision-enabled dynamic process management for networked enterprises," Information Systems Frontiers, Springer, vol. 13(5), pages 655-668, November.
    2. 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.
    3. Yan Li & Manoj A. Thomas & Kweku-Muata Osei-Bryson, 2017. "Ontology-based data mining model management for self-service knowledge discovery," Information Systems Frontiers, Springer, vol. 19(4), pages 925-943, August.
    4. Kaushal Chari, 2002. "Model Composition Using Filter Spaces," Information Systems Research, INFORMS, vol. 13(1), pages 15-35, March.
    5. Tsai, Yao-Chuan, 2001. "Comparative analysis of model management and relational database management," Omega, Elsevier, vol. 29(2), pages 157-170, April.
    6. Robert Clewley, 2012. "Hybrid Models and Biological Model Reduction with PyDSTool," PLOS Computational Biology, Public Library of Science, vol. 8(8), pages 1-8, August.
    7. Yan Li & Manoj A. Thomas & Kweku-Muata Osei-Bryson, 0. "Ontology-based data mining model management for self-service knowledge discovery," Information Systems Frontiers, Springer, vol. 0, pages 1-19.
    8. Maturana, Sergio & Ferrer, Juan-Carlos & Baranao, Francisco, 2004. "Design and implementation of an optimization-based decision support system generator," European Journal of Operational Research, Elsevier, vol. 154(1), pages 170-183, April.
    9. Huh, Soon-Young & Kim, Hyung-Min & Chung, Q. B., 1999. "Framework for change notification and view synchronization in distributed model management systems," Omega, Elsevier, vol. 27(4), pages 431-443, August.
    10. Dolk, Daniel R., 2000. "Integrated model management in the data warehouse era," European Journal of Operational Research, Elsevier, vol. 122(2), pages 199-218, April.
    11. Eom, Sean B, 1998. "The Intellectual Development and Structure of Decision Support Systems (1991-1995)," Omega, Elsevier, vol. 26(5), pages 639-657, October.
    12. Therani Madhusudan, 2007. "A web services framework for distributed model management," Information Systems Frontiers, Springer, vol. 9(1), pages 9-27, March.

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