The cognigraphic data ontology is a dynamic ontological system that evolves to suit users’ needs and goals. It organizes information multi-dimensionally and conceptually. The ontology comprises minimal elements, or cognigraphic units (CU), identified by their names and parameters that indicate the levels of and relationships between units representing a person’s activity.
The cognigraphic data ontology is designed to structure an individual’s theoretical and practical knowledge and psychomotor, cognitive, and other physiological capabilities by presenting them as development and information transfer processes and through mechanisms influencing functions and physical activity.
Multi-dimensional concept map of information organization
The cognigraphic data ontology is built on the principles of self-organization and the repeated use of cognigraphic units in various contexts in accordance with the goals and objectives of its application.
- Class – refers to how the unit is characterized in the ontology. Units belong to a certain class in the hierarchical information classification system in academic fields.
- Templates – a tool for reviewing a person’s activity according to practical professional and business needs. Grouping units according to goals and objectives, with the help of a template, allows new levels and concepts to be created in the cognigraphic data ontology using any information classification system. Templates have unlimited nesting capacity; they can consolidate separate units as well as existing groups. In the professional sphere, cognigraphic units can be compiled from a set of skills, professional functions, and learning goals. Other categories can also be utilized to compile cognigraphic units.
- Parent link – establishes a relationship between the cognigraphic unit and a more general unit. For example, if we have the unit “Individual can chop vegetables,” but we want to be more specific about this process (“Individual can chop onions”) then the first fragment can be designated as the “parent” in relation to the second.
Application of ontology
- Continuously growing base of structured information about human activity in the form of cognigraphic data;
- A source for the formation of Personal maps of the potential of the individual and specialized templates for goals and objectives in business, education and human-oriented automation;
- The basis for structuring information fragments of the Adaptive Information Potential (AIP) learning and evaluation algorithm.