Developing a core ontology to improve military intelligence analysis

Issue title: Selected papers of KES2012 - Part 1 of 2

Guest editors: M. Graña, A.I. Gonzalez-Acuña and C. Zanni-Merk

Article type: Research Article

Authors: Dragos, Valentina

Affiliations: ONERA – The French Aerospace Lab, F-91761 Palaiseau, France. E-mail: valentina.dragos@onera.fr | Computational Intelligence Group, University of the Basque Country, UPV/EHU, Spain

Abstract: In highly dynamic and heterogeneous environments, providing commanders with decision making support requires a through understanding of processes involved and the development of underlying knowledge models upon which reasoning mechanisms can be based. This paper presents the construction of ONTO-CIF, a formal ontology created to improve intelligence analysis. ONTO-CIF was developed by following a methodology based on textual documents, which allows us to accomplish a satisfactory accuracy level in terms of domain coverage while remaining on a manageable scale size. The paper also illustrates several semantic-based scenarios to support intelligence analysis, a central task of the military application field.

Keywords: Ontology, formal model, defence and intelligence

DOI: 10.3233/KES-130253

Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 17, no. 1, pp. 29-36, 2013