Algorithms of Automatic Construction of Hierarchical Model of Scientific Field Based on Clustering of Semantic Graphs of Scientific Terminology

The article proposes the model of a scientific thesaurus, represented as the domain hierarchical graph, which connects the scientific field with scientific terminology. The source of training data for model building is partially structured scientific texts, including subject scientific. We propose the algorithms for calculating the significance of semantic relations between scientific terms. The scientific publication semantic model combines the knowledge stored in the thesaurus with information on term usage statistics in the publication text. The experiments of analyzing scientific publications presented in this paper were conducted using the domain semantic graph "Mathematics", built as a result of automatic processing of the text of the mathematical encyclopedia in five volumes.