Abstract
The U.S. military is constructing a Global Information Grid that provides key software services to complex networks of computers and software clients in an operational theater. Commanders’ need for accurate and timely information in support of complex decisions requires that application programs, intelligent agents and humans be able to exchange, analyze, interpret and report information to one another. While interoperability of human soldiers has traditionally been accomplished by the creation of tacit and explicit knowledge through training, construction of software applications and intelligent agents for the GIG requires a standardized vocabulary and semantically rich formalization of common sense knowledge for the various domains of operation spanned by military planning and operations. This formalization is appropriately captured in ontologies which both provide representation vocabularies and facilitate information exchange. Our recent project to define a data model and ontology for the Mobility Common Operating Picture and our ongoing work to support dynamically computed Common Maneuver Networks illustrale the knowledge engineering challenges inherent in a domain where humans have traditionally relied on tacit knowledge to evaluate information as it influences key decisions. Distinguishing concepts that are inherently relational in nature from those that represent object attributes is a key success factor.
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9. References
Blais, C., Goerger, N., Nagle, J., Gates, B., Richmond, P. and Willis, J. (2005). Stakeholders Analysis and Design of a Common Data Model for the Mobility COP. Project No SIMCI-2005-007. U.S. Army Engineer Research and Development Center, Vicksburg, MS, 31 December 2005. ERDC LR-05-02.
Chandrasekaran, B., Josephson, B., and Benjamins, V. R. (1998). What Are Ontologies and Why Do We Need Them? IEEE Intelligent Systems and Their Applications, 14,1, 20–26.
Ganter, B. and Wille, R. (1999). Formal Concept Analysis: Mathematical Foundation. Springer Verlag, Berling.
Goerger, N., Blais, C., Gates, B., Nagle, J. and Keeter, R. (2006). Toward Establishing the Mobility Common Operational Picture: Needs Analysis and Ontology Development in Support of Interoperability. Paper 06S-SIW-044, Spring Simulation Interoperability Workshop, Simulation Interoperability Standards Organization, Huntsville, AL.
Guarino, N. (1995). Formal Ontology, Conceptual Analysis and Knowledge Representation. Interntional Journal of Human and Computer Studies, 43(5/6): 625–640.
Guarino, N. (1998). Formal Ontologies and Information Systems. In N. Guarino (ed.), Formal Ontology in Information Systems, Proceedings of FOIS’98, Trento, Italy, 6–8 June 1998. Amsterdam, IOS Press, pp. 3–15
Joint Chiefs of Staff: Doctrine for Joint Operations, JP 3-0, 10 September 2001. Available at: http://www.dtic.mil/doctrine/jel/new_pubs/jp3_0.pdf
Melby, J. and Glenn, R.. (2002). Street Smart: Intelligence Preparation of the Battlefield for Urban Operations. Rand, Santa Monica, CA.
Obrst L. and Davis M. (2006). Ontology Spectrum, from 2006 Semantic Technology Conference Brochure. Used by permission via personal e-mail communication with Dr. Obrst, 15 December 2005.
Priss, U. (2006) Formal Concept Analysis in Information Science. In: B. Cronin (ed.) Annual Review of Information Science and Technology, ASIST, 40.
Richmond, P., Willis, J., Blais, C., Goerger,. and Nagle, J. (2005). Synthesis of Data Representations for Ground Vehicle Mobility and Suggested Representation of the Mobility COP. Project No SIMCI-2005-007. U.S. Army Engineer Research and Development Center, Vicksburg, MS, 31 July 2005. ERDC LR-05-01
Richmond, P., Blais, C., Nagle, J., Goerger, N., Gates, B. and Willis, J. (2006). Web Services Identified for the Mobility-COP. Project No SIMCI-2005-007. U. S. Army Engineer Research and Development Center, Vicksburg, MS, 1 February 2006. ERDC LR-06-01.
Saltor, F., Castellanos, M., and Garcia-Solaco, M. (1991). Suitability of datamodels as canonical models for federated databases. SIGMOD Rec. 20,4, 44–48.
Sowa, J. (1998). Knowledge Representation: Logical, Philosophical, and Computational Foundations. PWS Publishing Co., Boston.
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Burk, R., Goerger, N., Gates, B., Blais, C., Nagle, J., Goerger, S. (2007). Knowledge Representation for Military Mobility Decision-Making by Humans and Intelligent Software. In: Baker, E.K., Joseph, A., Mehrotra, A., Trick, M.A. (eds) Extending the Horizons: Advances in Computing, Optimization, and Decision Technologies. Operations Research/Computer Science Interfaces Series, vol 37. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-48793-9_15
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