A Practical Military Ontology Construction for the Intelligent Army Tactical Command Information System


  • Donghee Yoo Korea Military Academy
  • Sungchun No Department of Electronics Engineering & Information Science, Korea Military Academy Gongneung-dong, Nowon-gu Seoul, Republic of Korea
  • Minyoung Ra Department of Electronics Engineering & Information Science, Korea Military Academy Gongneung-dong, Nowon-gu Seoul, Republic of Korea


military ontology, ontology building methodology, ATCIS


The purpose of this research is to construct a military ontology as the core element for implementing the intelligent Army Tactical Command Information System (ATCIS). Using the military ontology, the system can automatically understand and manage the meaning of military information in the system, and hence it can provide a commander with military knowledge for decision making. To construct the military ontology, we define the core concepts of the ontology based on terms extracted from the ATCIS database and complete the ontology by using the mixed ontology building methodology (MOBM). In addition, we implement intelligent ATCIS as a prototype that provides a military concept navigation service and commanders' decision support service to demonstrate how to use the military ontology in practice.

Author Biography

Donghee Yoo, Korea Military Academy

Dept. of Electronics Engineering & Information Science, Professor


Republic of Korea Army, http://www.army.mil.kr/english/sub02/sub020203.jsp.

M. Ra, D. Yoo, S. No, J. Shin, C. Han, The Mixed Ontology Building Methodology Us-ing Database Information, IAENG International Conference on Articial Intelligence and Applications (ICAIA'12), Hong Kong, 14-16 March 2012.

M. Gruninger, M. S. Fox, Methodology for the design and evaluation of ontologies, In Proceedings of the Workshop on Basic Ontological Issues in Knowledge Sharing held in conjunction with IJCAI-95, Montreal, Canada, 1995.

P. E. van der Vet, N. J. I. Mars, Bottom-Up Construction of Ontologies, IEEE Transactions on Knowledge and Data Engineering, 10(4):513-526, 1998. http://dx.doi.org/10.1109/69.706054

G. Schreiber, B. Wielinga, W. Jansweijer, The KACTUS View on the `O' Word, In IJCAI Workshop on Basic Ontological Issues in Knowledge Sharing, Montreal, Canada, pp. 159-168, 1995.

O. Corcho, M. Fernandez-Lopez, A. Gomez-Perez, A. Lopez-Cima, Building legal ontologies with METHONTOLOGY and WebODE, In Proceedings of Law and the Semantic Web, pp. 142-157, 2003.

F. J. Lopez-Pellicer, L. M. Vilches-Blazquez, J. Nogueras-Iso, O. Corcho, M. A. Bernable,A. F. Rodriguez, Using a hybrid approach for the development of an ontology in the hydro-graphical domain, In Proceedings of 2nd Workshop on Ontologies for Urban Development: Conceptual Models for Practitioners, 2007.

J. Trinkunas, O. Vasilecas, Building ontologies from relatinoal databases using reverse en-gineering methods, In Proceedings of International Conference on Computer Systems and Technologies, 2007.

N. Konstantinou, D. E. Spanos, N. Mitrou, Ontology and Database Mapping: A Survey of Current Implementations and Future Directions, Journal of Web Engineering, 7(1):1-24, 2008.

S. S. Sane, A. Shirke, Generating OWL ontologies from a relational databases for the se-mantic web, In Proceedings of International Conference on Advances in Computing, Communication and Control, pp. 143-148, 2009.

D. L. McGuinness, F. V. Harmelen, OWL Web Ontology Language Overview, W3C Recommendation 10 February 2004, http://www.w3.org/TR/owl-features/.

I. Horrocks, P. F. Patel-Schneider, H. Boley, S. Tabet, B. Grosof, M. Dean, SWRL: A Semantic Web Rule Language Combining OWL and RuleML, W3C Member Submission 21 May 2004, http://www.w3.org/Submission/SWRL/.

C. M. Bogdan, Domain Ontology of the VirDenT System, International Journal of Computers Communications & Control, 6(1):45-52, 2011.

S. Krivov, R. Williams, F. Villa, GrOWL: A Tool for Visualization and Editing of OWL Ontologies, Journal of Web Semantics, 5(2):54-57, 2007. http://dx.doi.org/10.1016/j.websem.2007.03.005

D. Yoo, Hybrid Query Processing for Personalized Information Retrieval on the Semantic Web, Knowledge-Based Systems, 27:211-218, 2012 http://dx.doi.org/10.1016/j.knosys.2011.10.004



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