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On the single networked links between classifications of sci-tech information. (Part 2. «The converters» between classifications. Distribution of headings semantic relation types)

https://doi.org/10.33186/1027-3689-2022-7-32-51

Abstract

For today, the RNPLS&T’s single network of classifications comprises four classification systems, i. e. State Rubicator of Sci-tech Information (GRNTI, version 2021) as the network foundation and core of the State System of Sci-tech Information, UDC (UDC tables in Russian), Classification Codes of the Higher Attestation Commission, WoS categories and subject areas, and international OECD classification. The semantic matches between the GRNTI headings and codes of the other classifications are defined as logical matching relations, extension inclusion and overlapping including that of key terms and word combinations used for indexing the thematic subject. Three types of semantic relations are determined: equivalency, hierarchy, and association. The statistics of matches in hierarchical levels of GRNTI thematic sections are cited. Based on the statistical analysis, the principal type of semantic matches is identified, along with the largest ratios for every type of relations for each of the classification under examination. The functional options for the single networked headings as the system of interrelated classifications of science objects are demonstrated as exemplified by crossrubrication of subject areas within the Critical Technologies List.

About the Authors

E. Yu. Dmitrieva
Russian National Public Library for Science and Technology
Russian Federation

Elena Yu. Dmitrieva – Cand. Sc. (En-gineering), Leading Researcher, Head, Group for Information Systems Development and Standardization

Moscow



T. A. Pronina
Russian National Public Library for Science and Technology
Russian Federation

Tatiana A. Pronina Cand. Sc. (Biol-ogy), Leading Methodologist, Group for Information Systems Development and Standardization

Moscow



O. V. Smirnova
Russian National Public Library for Science and Technology
Russian Federation

Olga V. Smirnova – Instructor, Group for Information Systems Develop-ment and Standardization

Moscow



I. S. Smyslova
Russian National Public Library for Science and Technology
Russian Federation

Irina S. Smyslova – Methodologist, Group for Information Systems Development and Standardization

Moscow



O. B. Startseva
Russian National Public Library for Science and Technology
Russian Federation

Olga B. Startseva – Leading Technologist, Group for Information Systems Development and Standardization

Moscow



E. S. Terekhova
Russian National Public Library for Science and Technology
Russian Federation

Elena S. Terekhova – First Category Technologist, Group for Information Systems Development and Standardization

Moscow



References

1. GRNTI. Gosudarstvenny`i` rubrikator nauchno-tekhnicheskoi` informatcii // Ministerstvo nauki i vy`sshego obrazovaniia Rossii`skoi` Federatcii, Gosudarstvennaia publichnaia nauchno-tekhnicheskaia biblioteka Rossii; sostaviteli: O. V. Smirnova, O. B. Startceva, E. S. Terehova; nauchny`i` rukovoditel` Ia. L. Shrai`berg, nauchny`e redaktory`: T. A. Pronina, E. M. Zai`tceva; otv. za vy`pusk I. S. Smy`slova. Moskva : GPNTB Rossii, 2021. 148 s.

2. Giliarevskii` R. S. Rubrikator kak instrument informatcionnoi` navigatcii. Moskva : Professiia, 2008. 352 s.

3. Dmitrieva E. Iu., Pronina T. A., Smirnova O. V., Smy`slova I. S., Startceva O. B., Terehova E. S. Formirovanie edinoi` seti sviazei` classifikatcii` nauchno-tekhnicheskoi` informatcii. (Chast` 1. «Perehodniki» mezhdu classifikatciiami. Metodologicheskie podhody` k sopostavleniiu classifikatcii`) // Nauchny`e i tekhnicheskie biblioteki. 2022. № 6. S. 60–75.

4. Prioritetny`e napravleniia razvitiia nauki, tekhnologii` i tekhniki v Rossii`skoi` Federatcii. Ukaz Prezidenta RF ot 7 iiulia 2011 g. № 899 v redaktcii Ukaza Prezidenta RF ot 16.12.2015 № 623.


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For citations:


Dmitrieva E.Yu., Pronina T.A., Smirnova O.V., Smyslova I.S., Startseva O.B., Terekhova E.S. On the single networked links between classifications of sci-tech information. (Part 2. «The converters» between classifications. Distribution of headings semantic relation types). Scientific and Technical Libraries. 2022;(7):32-51. (In Russ.) https://doi.org/10.33186/1027-3689-2022-7-32-51

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ISSN 1027-3689 (Print)
ISSN 2686-8601 (Online)