Scene-based simulation training ontology

The paper proposes a formal definition and description of the scene-based simulation training ontology. Areas of possible application include driving simulators, flight simulators, simulators of industrial, railway and agricultural equipment, medical simulators. Modern simulator is a complex technical product that must be especially adapted to be used in educational process and implement specialized training techniques. In addition, educational technologies may vary in different high schools, which is often associated with a variety of experiences and backgrounds. To solve this problem, there should be provided the ability to configure and customize training simulator-specific and individual requirements of particular universities. The paper proposes a solution based on the formation of a knowledge base training simulator separated from its program code, and providing opportunities for university professionals to expand and complement this knowledge base that may be required for adaptation and implementation of simulators in the training process. To model the current state of the real world it is proposed to implement scenes, which contain objects and subjects of interaction. Each scene object has a physical and logical representation. Physical performance models simulate behavior of an object (change its spatial configuration as a result of continuous exposure to external forces). Logical representation simulates a specific reaction of the object on the various events occurring during simulation (collision with the subjects, deformation, etc.). The transition between the states of the scene is carried out in case of events, both external (signaling the user’s activities) and internal (occurring during the simulation). The paper deals with the problem of constructing ontologies for a simulation training, presents a formal description of ontology and technology scenarios synthesis. The proposed model for scene-based simulation training ontology allows reducing the time required and the complexity of the creation of new simulators, as well as the adaptation of existing simulation solutions for their implementation and practical application of the system of higher education.