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.