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Correspondence between Hierarchical Knowledge Classifiers

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Automatic Documentation and Mathematical Linguistics Aims and scope

Abstract

Hierarchical, descriptive, and faceted methods of constructing knowledge classifiers and also the classification of knowledge using folksnomies are described. Mathematical models to formalize the listed methods of constructing classifiers are presented. A general description of the classifiers of the Russian Science Citation Index, Code of State Categories Scientific and Technical Information, and Universal Decimal Classification is given. The Chinese experience of classifying scientific publications and the American experience of classifying patent documents are analyzed. An alternative possibility for classifying scientific publications using clustering with bibliometric indicators and using keywords is indicated. A review of the main methods and means of comparing knowledge classifiers using qualifiers and expert competencies is carried out. A new approach to the compilation of knowledge classifiers based on their reduction to oriented trees and the construction of homomorphisms between these graphs is proposed.

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Notes

  1. In this case, we will consider the adjacency relation to be reflexive, i.e., the vertex of the oriented tree is considered adjacent to itself.

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Funding

The study was carried out as part of a study on the topic FFFU-2022-0007 of the State Assignment of the VINITI RAS.

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Authors and Affiliations

  1. All-Russian Institute for Scientific and Technical Information, Russian Academy of Sciences, Moscow, Russia

    P. A. Kalachikhin

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  1. P. A. Kalachikhin
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Correspondence to P. A. Kalachikhin.

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Translated by L. Solovyova

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Kalachikhin, P.A. Correspondence between Hierarchical Knowledge Classifiers. Autom. Doc. Math. Linguist. 58, 43–50 (2024). https://doi.org/10.3103/S0005105524010084

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