"This article describes the application of the ontological approach to the creation of an intelligent system of recommendations in the work of military recruitment committee. A popular and perfectly proven approach to describe and represent knowledge is ontologies. Designing knowledge-based systems is impossible without a thorough systematic study of the subject area in which the problem is to be solved. The result of systems research should be represented by the formalism best adapted for further implementation. Ontology is such a formalism, and this article discusses approaches to the formal representation of ontologies as the most important mechanism of knowledge engineering. Conceptually, ontology design processes are similar to those with multi-agent systems. In this case, nodes or agents connected to each other materialize our knowledge of the problem solution. An agent is comparable to the notion of an entity in an ontology. In both cases, an ontology graph is used. The Protégé software platform was chosen as one of the most popular development tools to implement the ontology ""Military Recruitment Committee"". An important factor is the support of SWRL, which is necessary for the future development of the project. In the process of ontology design, three main branches of entities were identified: questionnaire data; medical data; psychological data. Based on the results of the logical inference, a recommendation (advice) is formed regarding further decisions (actions) on working with a conscript. The SWRL is used to create rules for checking the set of properties for each conscript, on which a verdict is made. If necessary, the system will explain its actions. As a result, a preliminary ontological graph of the investigated domain in the OWL language is made. Implemented some software modules. Conducted a logical inference on the Protégé platform based on the description in SWRL language of the rules reflecting the impact of the set of entities of the ontology on the inferred recommendations."

Keywords: ontology, knowledge management, Protégé, knowledge-based systems, advisory systems, military recruitment committee