Y. Shrayberg, E. Dmitrieva, T. A. Pronina, I. S. Smyslova, E. Terekhova
{"title":"GRNTI 2022主版。(第2部分。更新和改进rubicator的链接和参考工具)","authors":"Y. Shrayberg, E. Dmitrieva, T. A. Pronina, I. S. Smyslova, E. Terekhova","doi":"10.33186/1027-3689-2023-3-43-79","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":42851,"journal":{"name":"Nauchnye i Tekhnicheskie Biblioteki-Scientific and Technical Libraries","volume":null,"pages":null},"PeriodicalIF":0.2000,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"GRNTI 2022 Master Version. (Part 2. Updating and improving links and reference tools of the Rubricator)\",\"authors\":\"Y. Shrayberg, E. Dmitrieva, T. A. Pronina, I. S. Smyslova, E. Terekhova\",\"doi\":\"10.33186/1027-3689-2023-3-43-79\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":42851,\"journal\":{\"name\":\"Nauchnye i Tekhnicheskie Biblioteki-Scientific and Technical Libraries\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.2000,\"publicationDate\":\"2023-03-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nauchnye i Tekhnicheskie Biblioteki-Scientific and Technical Libraries\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33186/1027-3689-2023-3-43-79\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nauchnye i Tekhnicheskie Biblioteki-Scientific and Technical Libraries","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33186/1027-3689-2023-3-43-79","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
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.