GRNTI 2022主版。(第2部分。更新和改进rubicator的链接和参考工具)

IF 0.2 Q4 INFORMATION SCIENCE & LIBRARY SCIENCE Nauchnye i Tekhnicheskie Biblioteki-Scientific and Technical Libraries Pub Date : 2023-03-22 DOI:10.33186/1027-3689-2023-3-43-79
Y. Shrayberg, E. Dmitrieva, T. A. Pronina, I. S. Smyslova, E. Terekhova
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引用次数: 0

摘要

本文介绍了对现有(2021年)国家科技信息编辑器(GRNTI)主版进行更新和改进以及编制2022年国家科技信息编辑器(GRNTI)主版的研究成果,特别是对GRNTI主版2021的编辑器链接和参考工具进行了更新和改进。GRNTI通用表代码结构中固定了分类层次,用四种类型的引用来指向标题之间的逻辑联系,即“see”、“see also”、“see cross reference”、“equivalent”和Notes[俄文]。所有三个GRNTI级别的更新和发展的一般统计数据见附录a。大多数变化都是在“另见”参考文献中进行的,这表明在GRNTI 2022主版的主题结构中,跨学科科学研究的份额有所增加。这种具有逻辑分组和概念排序的泛化层次,包括多层次联系,反映了现代科学技术知识的总体趋势。GRNTI 2022通用表的参考工具保持了具有逻辑语义连接的主题标题所反映的方面的区别。这样可以在索引时将文档引用到相关的标题。
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GRNTI 2022 Master Version. (Part 2. Updating and improving links and reference tools of the Rubricator)
The authors introduce the findings of their research on updating and improving the existing (2021) master version of the State Rubricator of Sci-tech Information (GRNTI) and preparing the master version 2022, in particular, updating and improving the Rubricator links and reference tools to these tools of GRNTI Master Version 2021. Four types of references are used to point to logical connections of subject headings supplementing the classification hierarchy fixed in the code structure of the GRNTI General Table, namely “see”, “see also”, “see cross reference”, “equivalent”, and Notes [in Russian]. The general statistics of updates and developments in all three GRNTI levels are presented in the Appendix A. Most changes are made to the “see also” reference, which evidences on the increased share of interdisciplinary scientific research in the thematic structure of the GRNTI 2022 Master Version. This level of generalization with logical grouping and concepts ordering, including polyhierarchichal connections, reflects the general trends in the modern scientific and technological knowledge. The reference tools of the GRNTI 2022 General Tables maintain distinction of aspects reflected in the subject headings with logical-semantic connections. This enables to refer documents to relevant headings when indexing.
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