Abstract: The article deals with topical issues of ontological modeling of the knowledge base of the intelligent decision support system
(DSS) for the choice of an individual educational trajectory.
The purpose of the work is to develop an ontological model of the knowledge base of the decision support system for building an
individual educational trajectory of a student. The subject of the research is the ontological modeling of the process of building an
individual educational trajectory.
The relevance of the work is due to the individualization of the educational process, which is proposed to be carried out
according to individual educational trajectories (IOT). When building an IOT, a large role is assigned to the independent choice and
decision-making of students, where it is necessary to clearly see the possible result of their choice. The system for constructing IOT
selection scenarios or the Decision Support System (DSS, Decision Support System, DSS) is an intelligent system, the core of which
will be a knowledge base based on an ontological model.
Methodological and technological aspects of modeling the ontology of the knowledge base of the subject area of individual
educational trajectories, the use of modern software tools and standards for the development of ontological models are presented. The
method and technology of ontological modeling are described, the main technical standards and their theoretical foundations are
presented, as well as the main processes of the design methodology.
The article describes the subject area of the ontological model, an approach to building a knowledge base model of an individual
educational trajectory, where the target questions of this ontology are formulated to determine its scale and competence. A sequential
process of ontological modeling of knowledge of the described subject area is presented. The rules of logical inference for checking
the competence of the ontological model are developed and the results of logical calculations are presented. The choice of semantic
technologies for the development of DSS is presented.
In conclusion, conclusions are made about the advantages of the ontological approach to the development of the knowledge base
of the decision support system for choosing an individual educational trajectory and about the software architecture of the
implementation of this system.
Index terms: ontology, knowledge base, rules of logical inference, semantic technologies, individual educational trajectory