Abstract
For many years, the problem of natural classification is an actual problem of classic, scientific, and theoretical systematics. The attempts to create a rational reproducible scientific method for solving this problem have not been successful until recently. New opportunities have arisen from the creation of physics of open systems that has met the challenges of natural classification through the development of ontological prerequisites and operational definition for taxon. This paper provides an overview of the results that allow to overcome complexity of the problem, and to propose a rational reproducible proven method for solving the system-wide task of natural classification on the basis of multidimensional knowledge-centric analytics of physics of open systems. The method is intended for using in different subject areas with regard to open natural, social, anthropogenic, cyber-physical, as well as complex, technical systems with hundreds and thousands of variables. It should be pointed out that initially these systems are taken in their natural scales and real complexity by using huge amount of polymodal heterogeneous empirical data.
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