Physics of open systems (POS) proposes its own approaches and methods of cognition of open systems in their natural scales and real complexity. On this basis a new cyber-physic paradigm of systemology became a reality. In this paradigm the analytical core of POS (a complex of informational and cognitive technologies that automatically generate scientifically proven knowledge about the systems' ontology from a huge multidimensional set of heterogeneous empirical data) occupies a central position. Represents a brief review of composition, structure, and capabilities of the analytical core. In considering the analytical core, much attention has been paid to technological component (technologies to generate knowledge, and to scientifically understand and rationally explain generated knowledge), as well as to qualimetric component (technologies to analyze the value (correctness, fullness, and completeness) of obtained knowledge). A special emphasis has been given to what is the role and where is the place of these technologies of analytical core in architecture of technological platform to generate and exploit knowledge about open systems.

Authors: T. L. Kachanova, B. F. Fomin, O. B. Fomin

Direction: Informatics and Computer Technologies

Keywords: Open systems, Big Data, physics of open systems, ontological knowledge, knowledge mining from empirical data, value of ontological knowledge, multidimensional knowledge-centric system analytics

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