An Ontology-Driven Knowledge Representation about Cognitive Functions

The paper explores the application of the ontological model of knowledge representation for the research of cognitive functions. A brief overview of the application of ontologies in the field of neuropsychology and neurophysiology is given. The relevance of the study is determined by the need for a comprehensive knowledge representation in the research field of cognitive functions based on the psychodiagnostic methods and analysis of EEG signals. An ontological model of knowledge representation for the subject area “Cognitive functions” is described. The model includes knowledge about large-scale brain networks, EEG as a method for studying unconscious components of mental states, basic cognitive functions, and psychodiagnostic methods. The conceptual structure of the developed OWL ontology, its object properties and data properties are given. The presented ontology class structure is intended to collect knowledge about the patterns of brain activity and psychodiagnostic methods that can be used to diagnose mental states. The Protégé 5.5 editor was used to develop the OWL ontology.