Annotation: The article deals with methods of obtaining knowledge about an air enemy. An analysis is made of the characteristics of enemy air assets on the basis of data coming from diverse sources of information. Logical-linguistic descriptions of particular generalized characteristics of air objects are considered in more detail. Based on the obtained logical expressions of the rules for deriving generalized characteristics of air objects, a network model of the process of obtaining generalized characteristics of air objects is construcklkljkjted, which allows to visualize the entire process. A method of representing a priori knowledge is proposed.