Methodology of Inductive and Deductive Synthesis of Models of Structurally Complex Dynamic Networks in the Form of a Knowledge Graph

Tpresents a methodology for inductive and deductive synthesis of models of structurally complex dynamic networks (SCDN) in the form of a knowledge graph. The aim of the work is to develop a methodology for inductive synthesis of a SCDN model from particular models of information systems functioning in the network, which allows determining a satisfactory model structure in terms of its synthesis time and the performance of executing queries to the model in the form of a knowledge graph, as well as to develop a methodology for deductive synthesis of a SCDN model in order to solve the problem of the relevance of a model in the form of a knowledge graph at a selected point in time and determine the best model structure in terms of the performance of deductive synthesis.