Interdisciplinary Synthetic Classifier in the Subject Area “Innovations and Innovation Management”

The article examined the development of a model of information retrieval language in the form of an interdisciplinary synthetic classifier as a set of interlinked notations and polyhierarchical links of classification branches in the subject area “Innovations and Innovation Management.” The general...

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Vydáno v:Scientific and technical information processing Ročník 52; číslo 2; s. 110 - 118
Hlavní autor: Chuikova, N. A.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Moscow Pleiades Publishing 01.06.2025
Springer Nature B.V
Témata:
Bibliographic description
Classification
Classifiers
Codes
Collection
Computer Science
Computer Systems Organization and Communication Networks
Data mining
Dictionaries
Economics
Information
Information retrieval
Innovations
Interdisciplinary aspects
Keywords
R&D
Research & development
Retrieval
Science
Serials
Subject headings
Technical information
Technological change
Technological progress
Russia
information resources
information retrieval language
database
keywords
classifier
CIS
information search
innovation activity
ISSN:0147-6882, 1934-8118
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Abstract The article examined the development of a model of information retrieval language in the form of an interdisciplinary synthetic classifier as a set of interlinked notations and polyhierarchical links of classification branches in the subject area “Innovations and Innovation Management.” The general collection of keywords and phrases, as well as subject headings of the VINITI Classifier, linked to the studied information array was presented. The links of the headings of this collection with the State Classifier of Scientific and Technical Information and the Universal Decimal Classification were taken into account. A statistical core (18 units) of the collection of subject headings was identified. Analysis was made of the keywords and subject entries under the most commonly used headings: 061.54.45 “Innovation Activity” and 061.54.31 “Scientific and Technological Progress. New Technologies. Innovations. Research and Development.” The cores of many subject entries were constructed, and an expert-analytical assessment was carried out, supplementing the obtained results.
AbstractList The article examined the development of a model of information retrieval language in the form of an interdisciplinary synthetic classifier as a set of interlinked notations and polyhierarchical links of classification branches in the subject area “Innovations and Innovation Management.” The general collection of keywords and phrases, as well as subject headings of the VINITI Classifier, linked to the studied information array was presented. The links of the headings of this collection with the State Classifier of Scientific and Technical Information and the Universal Decimal Classification were taken into account. A statistical core (18 units) of the collection of subject headings was identified. Analysis was made of the keywords and subject entries under the most commonly used headings: 061.54.45 “Innovation Activity” and 061.54.31 “Scientific and Technological Progress. New Technologies. Innovations. Research and Development.” The cores of many subject entries were constructed, and an expert-analytical assessment was carried out, supplementing the obtained results.
Author Chuikova, N. A.
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  surname: Chuikova
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  email: nad@viniti.ru
  organization: All-Russian Institute for Scientific and Technical Information (VINITI), Russian Academy of Sciences
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ContentType Journal Article
Copyright Allerton Press, Inc. 2025 ISSN 0147-6882, Scientific and Technical Information Processing, 2025, Vol. 52, No. 2, pp. 110–118. © Allerton Press, Inc., 2025.Russian Text © The Author(s), 2025, published in Nauchno-Tekhnicheskaya Informatsiya, Seriya 1: Organizatsiya i Metodika Informatsionnoi Raboty, 2025, No. 5, pp. 10–19.
Allerton Press, Inc. 2025.
Copyright_xml – notice: Allerton Press, Inc. 2025 ISSN 0147-6882, Scientific and Technical Information Processing, 2025, Vol. 52, No. 2, pp. 110–118. © Allerton Press, Inc., 2025.Russian Text © The Author(s), 2025, published in Nauchno-Tekhnicheskaya Informatsiya, Seriya 1: Organizatsiya i Metodika Informatsionnoi Raboty, 2025, No. 5, pp. 10–19.
– notice: Allerton Press, Inc. 2025.
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information retrieval language
database
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innovation activity
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SubjectTerms Bibliographic description
Classification
Classifiers
Codes
Collection
Computer Science
Computer Systems Organization and Communication Networks
Data mining
Dictionaries
Economics
Information
Information retrieval
Innovations
Interdisciplinary aspects
Keywords
R&D
Research & development
Retrieval
Science
Serials
Subject headings
Technical information
Technological change
Technological progress
Title Interdisciplinary Synthetic Classifier in the Subject Area “Innovations and Innovation Management”
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