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.

Authors: I. A. Kulikov

Direction: Informatics, Computer Technologies And Control

Keywords: structurally complex dynamic network, knowledge graph, inductive synthesis, deductive synthesis, RDF

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