research-article

Knowledge representation and the dimensions of a multi-model relationship

Authors:

Charles Turnitsa,

Andreas TolkAuthors Info & Claims

WSC '08: Proceedings of the 40th Conference on Winter Simulation

Pages 1148 - 1156

Published: 07 December 2008 Publication History

Abstract

The exchange of data between different models in a multisimulation environment is about the exchange of information from within the context of two separate worldviews. This amounts to knowledge (information in context). To represent this knowledge, in any of a number of different ways (meta-data, ontological reference, frames, etc.) there must be a method to bridge the gap between what the worldview of origination can represent and what the worldview of destination can receive. This requires some understanding of the dimensions of difference between the two worldviews. As each separate model is the product of a different perspective by the model's developer, each individual model will have a different worldview. Understanding what these differences are, and viewing them in light of the requirements for conceptual interoperability will contribute a great teal to the knowledge that must be captured for meaningful exchange.

References

[1]

Brachman, R., and J. Schmolze. 1985. An Overview of the KL-ONE Knowledge Representation System. Cognitive Science, 9(2): 171--216.

[2]

Chen, P. P. 1976. The Entity-Relational Model -- Toward a Unified View of Data. ACM Transactions on Database Systems, 1(1): 9--36, March, 1976.

Digital Library

[3]

Davis, P. K. and R. H. Anderson. 2003. Improving the Composability of Department of Defense Models and Simulations. RAND, National Defense Research Institute Report.

[4]

Devlin, K. 2006. Situation Theory and Situation Sementics. Logic and the Modalities in the Twentieth Century, Elsevier Handbook of the History of Logic, Vol. 7, ed. by D. Gabbay and J. Woods, Elsevier.

[5]

Dobrev, P., O. Kalaydjiev, G. Angelova. 2007. From Conceptual Structures to Semantic Interoperability of Content. Bookchapter in Conceptual Structures: Knowledge Architectures for Smart Applications, pp. 192--205, Springer Verlag.

Digital Library

[6]

Grenon, P. 2003. Spatio-Temporality in Basic Formal Ontology, Institute for Formal Ontology and Medical Information Science, University of Leipzig, 2003. Available online at: http://www.ifomis.org/bfo (last visited March, 2008)

[7]

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

[8]

Gruber, T. 1993. A Translation Approach to Portable Ontology Specifications. Knowledge Acquisition, 5(2), 199--220.

Digital Library

[9]

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

[10]

Petty, M. D., E. W. Weisel. 2003. A Composability Lexicon, Proceedings IEEE Spring Simulation Interoperability Workshop, IEEE CS Press.

[11]

Smith, B., W. Ceusters, B. Klagges, J. Kohler, A. Kumar, J. Lomax, C. Mungall, F. Neuhaus, A. Rector, C. Rosse. 2005. Relations in biomedical ontologies. Genome Biology, April 2005

[12]

Sousa-Poza, A. A. 2005. Pragmatic Idealism as the Basis for Understanding, Proceedings 2005 International Conference on Systems, Man and Cybernetics, IEEE Press.

[13]

Sowa, J. 2000. Ontology, Metadata, and Semiotics, Published in B. Ganter & G. W. Mineau, eds., Conceptual Structures: Logical, Linguistic, and Computational Issues, Lecture Notes in AI #1867, Springer-Verlag, Berlin, pp. 55--81.

Digital Library

[14]

Tolk, A., J. A. Muguira. 2003. The Levels of Conceptual Interoperability Model (LCIM). Proceedings IEEE 2003 Fall Simulation Interoperability Workshop, IEEE CS Press.

[15]

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

[16]

Turnitsa, C. 2005. Extending the Levels of Conceptual Interoperability Model, Proceedings IEEE 2005 Summer Computer Simulation Conference, IEEE CS Press.

[17]

Yilmaz, L., T. Ören, A. Lim, and S. Bowen. 2007. Requirements and Design Principles for Multisimulation with Multiresolution, Multistage Multimodels, in Proceedings of the 2007 Winter Simulation Conference, eds. S. G. Henderson, B. Biller, M. H. Hsieh, J. Shortle, J. D. Tew, and R. R. Barton. 823--832. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc.

Digital Library

[18]

Zeigler, B. P., H. Praehofer, and T. G. Kim. 2000. Theory of Modeling and Simulation. 2^nd Edition, Academic Press.

Digital Library

[19]

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

Digital Library

[20]

Zhang, G. and B. P. Zeigler. 1989. The system entity structure: Knowledge representation for simulation modeling and design. In Artificial Intelligence, Simulation and Modeling, L. E. Widman, K. A. Loparo, and N. R. Nielsen, Eds. New York: Wiley, pp. 47--73.

Cited By

(2018)Model knowledge matching algorithm for steelmaking casting schedulingInternational Journal of Wireless and Mobile Computing10.5555/3292951.329295415:3(215-222)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.5555/3292951.3292954
Turnitsa CHuschka TChick S(2016)Heterogeneous models in a multi-model systemProceedings of the 2016 Winter Simulation Conference10.5555/3042094.3042292(1547-1558)Online publication date: 11-Dec-2016
https://dl.acm.org/doi/10.5555/3042094.3042292
Mustafee NPowell JBrailsford SDiallo SPadilla JTolk A(2015)Hybrid simulation studies and hybrid simulation systemsProceedings of the 2015 Winter Simulation Conference10.5555/2888619.2888809(1678-1692)Online publication date: 6-Dec-2015
https://dl.acm.org/doi/10.5555/2888619.2888809
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Information & Contributors

Information

Published In

cover image ACM Conferences

WSC '08: Proceedings of the 40th Conference on Winter Simulation

December 2008

3189 pages

ISBN:9781424427086

Editors:
Scott Mason
University of Arkansas
,
Ray Hill
Air Force Institute of Technology
,
Lars Mönch
University of Hagen
,
Oliver Rose
University of Dresden
,
General Chair:
Thomas Jefferson
Intel Corporation
,
Program Chairs:
John W. Fowler
Arizona State University
,
Ricki G. Ingalls
Oklahoma State University

Sponsors

IIE: Institute of Industrial Engineers
INFORMS-SIM: Institute for Operations Research and the Management Sciences: Simulation Society
ASA: American Statistical Association
IEEE/SMC: Institute of Electrical and Electronics Engineers: Systems, Man, and Cybernetics Society
SIGSIM: ACM Special Interest Group on Simulation and Modeling
NIST: National Institute of Standards and Technology
(SCS): The Society for Modeling and Simulation International

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Winter Simulation Conference

Publication History

Published: 07 December 2008

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WSC08

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IIE
INFORMS-SIM
ASA
IEEE/SMC
SIGSIM
NIST
(SCS)

WSC08: Winter Simulation Conference

December 7 - 10, 2008

Florida, Miami

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WSC '08 Paper Acceptance Rate 249 of 304 submissions, 82%;

Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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Cited By

(2018)Model knowledge matching algorithm for steelmaking casting schedulingInternational Journal of Wireless and Mobile Computing10.5555/3292951.329295415:3(215-222)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.5555/3292951.3292954
Turnitsa CHuschka TChick S(2016)Heterogeneous models in a multi-model systemProceedings of the 2016 Winter Simulation Conference10.5555/3042094.3042292(1547-1558)Online publication date: 11-Dec-2016
https://dl.acm.org/doi/10.5555/3042094.3042292
Mustafee NPowell JBrailsford SDiallo SPadilla JTolk A(2015)Hybrid simulation studies and hybrid simulation systemsProceedings of the 2015 Winter Simulation Conference10.5555/2888619.2888809(1678-1692)Online publication date: 6-Dec-2015
https://dl.acm.org/doi/10.5555/2888619.2888809
Moon IHong JHill RKuhl M(2013)Theoretic interplay between abstraction, resolution, and fidelity in model informationProceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World10.5555/2675983.2676146(1283-1291)Online publication date: 8-Dec-2013
https://dl.acm.org/doi/10.5555/2675983.2676146
Tolk AHeath BIhrig MPadilla JPage ESuarez ESzabo CWeirich PYilmaz LHill RKuhl M(2013)Epistemology of modeling and simulationProceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World10.5555/2675983.2676130(1152-1166)Online publication date: 8-Dec-2013
https://dl.acm.org/doi/10.5555/2675983.2676130

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