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Part of the book series: Studies in Computational Intelligence ((SCI,volume 168))

Abstract

This chapter introduces three engineering methods to support the evaluation of composition and interoperation in complex systems. Data engineering deals with conceptualization of entities and their relations. Process engineering deals with conceptualization of functions and behaviors. Constraint engineering deals with valid solution spaces for data and processes. It is shown that all three aspects must be considered and supported by a solution. The Levels of Conceptual Interoperability Model is used as the basis for the engineering methods. Several current solutions to support complex systems in knowledge-based environments are evaluated and compared.

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References

  • Bernstein, P.A., Melnik, S., Petropoulos, M., Quix, C.: Industrial-strength schema matching. Special Issue in Semantic Integration, SIGMOD Rec. 33(4), 38–43 (2004)

    Google Scholar 

  • Brown, G., Jeremy, J.: Website Indexing: enhancing access to information within websites, 2nd edn. Auslib Press, Blackwood (2004)

    Google Scholar 

  • Buede, D.M.: The Engineering Design of Systems. John Wiley & Sons, Inc., Chichester (1999)

    Google Scholar 

  • Davis, P.K., Anderson, R.H.: Improving the Composability of Department of Defense Models and Simulations. RAND Corporation (2003)

    Google Scholar 

  • Dobrev, P., Kalaydjiey, O., Angelova, G.: From Conceptual Structures to Semantic Interoperability of Content. In: Conceptual Structures: Knowledge Architectures for Smart Applications, pp. 192–205. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  • Garlan, D., Allen, R., Ockerbloom, J.: Architectural Mismatch: Why Reuse Is So Hard. In: Proceedings 17th International Conference on Software Enginneering, Seattle, Washington, pp. 179—185 (1995)

    Google Scholar 

  • GridWise Architecture Council Interoperability Framework Team, Interoperability Context-Setting Framework, V1.0 (July 2007)

    Google Scholar 

  • Hofmann, M.: Challenges of Model Interoperation in Military Simulations. SIMULATION 80, 659–667 (2004)

    Article  Google Scholar 

  • Jordan, D., Evdemon, J.: Web Services Business Process Execution Language (2007), http://docs.oasis-open.org/wsbpel/2.0/wsbpel-v2.0.pdf

  • King, R.: Towards Conceptual Linkage of Models and Simulations. In: Proceedings of the Fall Simulation Interoperability Workshop. IEEE CS Press, Los Alamitos (2007)

    Google Scholar 

  • King, R., Turnitsa, C.: The Landscape of Assumptions. In: Spring Simulation MultiConference, Ottawa. IEEE CS Press, Los Alamitos (2008)

    Google Scholar 

  • King, R., Diallo, S., Tolk, A.: How to Play Fairly: Agents and Web Services Can Help. In: Proceedings Spring Simulation Interoperability Workshop. IEEE CS Press, Los Alamitos (2007)

    Google Scholar 

  • Morris, E., Levine, L., Meyers, C., Place, P., Plakosh, D.: System of Systems Interoperability (SOSI), Final Report. Software Engineering Institute, Carnegie Mellon University, Pittsburgh, PA (2004)

    Google Scholar 

  • O’Kelly, P.: Data Modeling is Underrated: A Bright Future Ahead in the Grand Schema Things. Burton Group, Ontolog-Forum Presentation (November 30, 2006)

    Google Scholar 

  • Pace, D.: Simulation Conceptual Model Development Issues and Implications for Reuse of Simulation Components. In: Fall Simulation Interoperability Workshop. IEEE CS Press, Los Alamitos (2006)

    Google Scholar 

  • Page, E.H., Briggs, R., Tufarolo, J.A.: Toward a Family of Maturity Models for the Simulation Interconnection Problem. In: Spring Simulation Interoperability Workshop. IEEE CS Press, Los Alamitos (2004)

    Google Scholar 

  • Parent, C., Spaccapietra, S.: Issues and approaches of database integration. Communications of the ACM 41(5), 166–178 (1998)

    Article  Google Scholar 

  • Parent, C., Spaccapietra, S.: Database Integration: The Key To Data Interoperability Advances in Object-Oriented Data Modeling. In: Papazoglou, M., Spaccapietra, S., Tari, Z. (eds.) Advances in Object-Oriented Data Modeling, pp. 221–253. MIT Press, Cambridge (2000)

    Google Scholar 

  • Phillips-Wren, G., Jain, L.: Decision Support in Agent Mediated Environments. IOS Press B.V., Amsterdam (2005)

    Google Scholar 

  • Phillips-Wren, G., Jain, L.: Ontology Driven Interoperability for Agile Applications using Information Systems: Requirements and Applications for Agent Mediated Decision Support. Journal for Intelligent Decision Technologies 2(1) (Special Issue 2008)

    Google Scholar 

  • Rahm, E., Do, H., Massmann, S.: Matching large XML schemas. SIGMOD Record. Special Issue in Semantic Integration (2004)

    Google Scholar 

  • Robinson, S.: Issues in Conceptual Modeling for Simulation: Setting a Research Agenda. OR Society 3rd Simulation Workshop, Ashorne, UK (2006)

    Google Scholar 

  • Robinson, S.: Conceptual modelling for simulation Part I: definition and requirements. Journal of the Operational Research Society 59(3), 278–290 (2007)

    Article  Google Scholar 

  • Seligman, L.A., Rosenthal, P., Lehner, P., Smith. A.: Data integration: Where does the time go? IEEE Data Engineering Bulletin (2002)

    Google Scholar 

  • Siegel, J.: Introduction To OMG’s Unified Modeling Language (UML), Object Management Group (2005), http://www.omg.org/gettingstarted/what_is_uml.htm

  • Sowa, J., Majumdar, A.: Analogical Reasoning. In: de Moor, L., Ganter (eds.) Conceptual Structures for Knowledge Creation and Communication, pp. 16–36. Springer, Berlin (2003)

    Google Scholar 

  • Sowa, J.F.: Knowledge Representation: Logical, Philosophical and Computational Foundations. Monterey. Brooks Cole Publishing Co. (2000)

    Google Scholar 

  • Spaccapietra, S., Parent, C., Dupont, Y.: Model Independent Assertions for Integration of Heterogeneous Schemas. Very Large Database (VLDB) Journal 1(1), 81–126 (1992)

    Article  Google Scholar 

  • Su, H., Kuno, H., Rundensteiner, E.: Automating the transformation of XML documents. In: 3rd International Workshop on Web Information and Data Management, pp. 68–75. ACM Press, New York (2001)

    Google Scholar 

  • Tolk, A., Diallo, S.: Model-Based Data Engineering for Web Services. IEEE Internet Computing 9(4), 65–71 (2005)

    Article  Google Scholar 

  • Tolk, A., Diallo, S.: Model-Based Data Engineering for Web Services. In: Nayak, R., et al. (eds.) Evolution of the Web in Artificial Intel. Environ, pp. 137–161. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  • Tolk, A., Muguira, J.: The Levels of Conceptual Interoperability Model (LCIM). In: IEEE Fall Simulation Interoperability Workshop. IEEE CS Press, Los Alamitos (2003)

    Google Scholar 

  • Tolk, A.: Moving towards a Lingua Franca for M&S and C3I – Developments concerning the C2IEDM. In: European Simulation Interoperability Workshop, Edinburgh, Scotland (June 2004)

    Google Scholar 

  • Tolk, A., Diallo, S., Turnitsa, C.: Ontology Driven Interoperability – M&S Applications, Old Dominion University, Whitepaper in support of the I/ITSEC Tutorial, VMASC Report 2548 (2006)

    Google Scholar 

  • Tolk, A., Turnitsa, C., Diallo, S.: Implied Ontological Representation within the Levels of Conceptual Interoperability Model. Journal of Systemics, Cybernetics and Informatics 5(5), 65–74, IIIS (2007)

    Google Scholar 

  • Tolk, A., Diallo, S., Turnitsa, C., Winters, L.S.: Composable M&S Web Services for Net-centric Applications. Journal Defense Modeling and Simulation 3(1), 27–44 (2006)

    Google Scholar 

  • Tolk, A.: Common Data Administration, Data Management, and Data Alignment as a Necessary Requirement for Coupling C4ISR Systems and M&S Systems. Information & Security: An International Journal 12(2), 164–174 (2003)

    Google Scholar 

  • Turnitsa, C.: Extending the Levels of Conceptual Interoperability Model. In: Proc. Summer Computer Simulation Conference, Philadelphia (2005)

    Google Scholar 

  • Yilmaz, L., Paspuletti, S.: Toward a Meta-Level Framework for Agent-supported Interoperation of Defense Simulations. Journal of Defense Modeling and Simulation 2(3), 161–175 (2005)

    Google Scholar 

  • Yilmaz, L.: On the Need for Contextualized Introspective Simulation Models to Improve Reuse and Composability of Defense Simulations. Journal of Defense Modeling and Simulation 1(3) (2004)

    Google Scholar 

  • Yilmaz, L., Tolk, A.: Engineering ab initio dynamic interoperability and composability via agent-mediated introspective simulation. In: IEEE Winter Simulation Conference, pp. 1075–1182. IEEE CS Press, Los Alamitos (2006)

    Chapter  Google Scholar 

  • Zeigler, B., Hammonds, P.: Modeling & Simulation-Based Data Engineering: Introducing Pragmatics into Ontologies for Net-Centric Information Exchange. Academic Press, London (2007)

    Google Scholar 

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Tolk, A., Diallo, S.Y., King, R.D., Turnitsa, C.D. (2009). A Layered Approach to Composition and Interoperation in Complex Systems. In: Tolk, A., Jain, L.C. (eds) Complex Systems in Knowledge-based Environments: Theory, Models and Applications. Studies in Computational Intelligence, vol 168. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88075-2_3

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  • DOI: https://doi.org/10.1007/978-3-540-88075-2_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88074-5

  • Online ISBN: 978-3-540-88075-2

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