Developing a core ontology to improve military intelligence analysis

  • Authors:
  • Valentina Dragos

  • Affiliations:
  • ONERA --The French Aerospace Lab, F-91761 Palaiseau, France. E-mail: valentina.dragos@onera.fr

  • Venue:
  • International Journal of Knowledge-based and Intelligent Engineering Systems - Selected papers of KES2012-Part 1 of 2
  • Year:
  • 2013

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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.