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Authors: André Demori 1 ; Julio Tesolin 1 ; David Moura 1 ; João Gomes 2 ; Gabriel Pedroso 2 ; Leonardo Silva de Carvalho 2 ; Edison Pignaton de Freitas 2 and Maria C. Cavalcanti 1

Affiliations: 1 Military Institute of Engineering, Rio de Janeiro, RJ, Brazil ; 2 Federal University of Rio Grande do Sul, Porto Alegre, Brazil

Keyword(s): Semantic Web, Domain ontologies, Decision-making, Modeling and Simulation.

Abstract: The reality simulation process by computational means allows decision-makers to analyze and propose the best strategies to be adopted in a real environment. However, the scenario, sometimes heterogeneous, as in the case of military operations, requires formalization to achieve domain knowledge, allowing a more faithful reproduction of reality. In the case of military operation scenarios that address tactical, operational, and strategic elements and the use of communications, formalization could help organize knowledge, data sharing, and decision-making. This article proposes (i) the use of conceptual modeling that is based on concepts arising from a foundation ontology named UFO (Unified Foundational Ontology), (ii) the use of Web Ontology language (OWL), and (iii) the use of rule definitions expressed in the Semantic Web Rule Language (SWRL). Through this approach, this article describes the process of formalizing the domain knowledge as a reference and its corresponding operational ontology by identifying entities, relationships, rules, and all the categorizations made in the ontology for execution and decision-making in a battlefield simulator that is still in production. The application of this ontology is illustrated in representative and real-world examples, showing promising results of the proposed approach. (More)

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Paper citation in several formats:
Demori, A.; Tesolin, J.; Moura, D.; Gomes, J.; Pedroso, G.; Silva de Carvalho, L.; Pignaton de Freitas, E. and C. Cavalcanti, M. (2023). A Semantic Web Approach for Military Operation Scenarios Development for Simulation. In Proceedings of the 12th International Conference on Data Science, Technology and Applications - DATA; ISBN 978-989-758-664-4; ISSN 2184-285X, SciTePress, pages 390-397. DOI: 10.5220/0012088600003541

@conference{data23,
author={André Demori. and Julio Tesolin. and David Moura. and João Gomes. and Gabriel Pedroso. and Leonardo {Silva de Carvalho}. and Edison {Pignaton de Freitas}. and Maria {C. Cavalcanti}.},
title={A Semantic Web Approach for Military Operation Scenarios Development for Simulation},
booktitle={Proceedings of the 12th International Conference on Data Science, Technology and Applications - DATA},
year={2023},
pages={390-397},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012088600003541},
isbn={978-989-758-664-4},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Data Science, Technology and Applications - DATA
TI - A Semantic Web Approach for Military Operation Scenarios Development for Simulation
SN - 978-989-758-664-4
IS - 2184-285X
AU - Demori, A.
AU - Tesolin, J.
AU - Moura, D.
AU - Gomes, J.
AU - Pedroso, G.
AU - Silva de Carvalho, L.
AU - Pignaton de Freitas, E.
AU - C. Cavalcanti, M.
PY - 2023
SP - 390
EP - 397
DO - 10.5220/0012088600003541
PB - SciTePress