Correspondence between Hierarchical Knowledge Classifiers

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2024-04-02 DOI:10.3103/S0005105524010084
P. A. Kalachikhin
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引用次数: 0

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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分层知识分类器之间的对应关系
摘要 阐述了构建知识分类器的分层、描述和分面方法,以及使用乡名对知识进行分类的方法。文章介绍了构建分类器的数学模型。对《俄罗斯科学引文索引》、《国家分类科技信息代码》和《通用十进制分类法》的分类器进行了总体描述。分析了中国的科学出版物分类经验和美国的专利文献分类经验。还指出了利用文献计量学指标和关键词进行聚类对科学出版物进行分类的另一种可能性。回顾了使用限定词和专家能力对知识分类器进行比较的主要方法和手段。在将知识分类器还原为定向树并在这些图之间构建同构的基础上,提出了一种编制知识分类器的新方法。
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来源期刊
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS COMPUTER SCIENCE, INFORMATION SYSTEMS-
自引率
40.00%
发文量
18
期刊介绍: Automatic Documentation and Mathematical Linguistics  is an international peer reviewed journal that covers all aspects of automation of information processes and systems, as well as algorithms and methods for automatic language analysis. Emphasis is on the practical applications of new technologies and techniques for information analysis and processing.
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