The concept of forming a digital twin structure to take into account the significance of purchased literature in the system of acquisition of the book collection of the university library

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The sphere of higher education, including library processes, nowadays functions in close interaction with information systems, among which information systems based on artificial intelligence technology seem to be especially effective. Implemented by the university educational process and scientific research are directly dependent on the qualitative and quantitative characteristics of the acquisition process of the book collection. In this regard, relevant is a possible way to use a digital twin, based on artificial intelligence technology, as a tool of intelligent management in the preparation of an order of literature for the university, by ranking the ordered publications on the indicators of informational relevance, based on the principles of information equivalence, and the unequal value of meaningful references. Research Objective. Discusses the structures of the proposed digital twin, examples of calculating the rankings of publications offered by publishers for purchase.

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Artificial intelligence, digital twin, literature ordering, literature citation, significant citation database, citation index, publication ranking, parser, neural network node

Короткий адрес: https://sciup.org/147243966

IDR: 147243966   |   DOI: 10.14529/ctcr240201

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