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The article is devoted to the formation of a new approach to the classification of national educational and methodological information, which should ensure the feasibility of adaptability of electronic educational systems, within the framework of the transition of society to its information form. The need for this is due to the fact that educational and methodological information is usually formed on the basis of new scientific results obtained during the implementation of dissertation research. At the same time, the volume of scientific information is currently growing according to a law close to exponential, and thus the requirements for integrated distributed information systems (electronic library systems) that provide the educational process are sharply increasing. The justification for the relevance of the research topic and the formulation of the problem to be solved are based on a retrospective analysis of existing methods for classifying documents containing scientific information, as well as integrated distributed information systems, widely represented on the world market. The results of the analysis indicate that the existing growth of published scientific and methodological information occurs according to a law close to exponential, which leads to a decrease in the depth of the request or to a significant narrowing of the search area and obtaining information that is not relevant with a high probability, which ultimately reduces the quality of the educational process. The result of this paper is an algorithm for the a priori classification of authors of educational and methodological information, based on the analysis of abstracts inherent in the domestic system of certification of scientific and pedagogical personnel. The result was achieved through the use of ideas from academic genealogy, set theory and discrete mathematics, graph theory. The limitations and recommendations for the practical implementation of the approach proposed in the work are listed.
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Grigoriev et al. (2025) studied this question.
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