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Informatika i Ee Primeneniya [Informatics and its Applications], 2017, Volume 11, Issue 3, Pages 132–141
DOI: https://doi.org/10.14357/19922264170315
(Mi ia494)
 

This article is cited in 2 scientific papers (total in 2 papers)

Indicator evaluation of processes of knowledge transfer from science to technology

I. M. Zatsman, G. V. Lukyanov, V. A. Minin, V. A. Havanskov, S. K. Shubnikov

Institute of Informatics Problems, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
Full-text PDF (741 kB) Citations (2)
References:
Abstract: The article is dedicated to indicator evaluation of information interactions between science and technology. Some of these indicators are defined as single numeric values and some as matrices of numeric values that characterize the intensity of the knowledge flow from different research areas into specific technological branches. The article provides a description of primary information resources, mainly full-text descriptions of patents, which are used to define numerical values of these indicators. It also gives a description of secondary information resources generated as the result of patent documentation processing, including information on references to scientific publications cited in patents. Primary and secondary resources were used to create and test the information model and the corresponding indicators of assessment of interaction between science and technology. This model was applied as a foundation for calculation of numerical values of integral and thematic indicators of the intensity of scientific knowledge flow into the branch of information technologies.
Keywords: information interaction between science and technology; citation of scientific works; intensity of the knowledge flow; indicator assessment; information technology.
Funding agency Grant number
Russian Foundation for Basic Research 16-07-00075_а
The work was done under financial support of the Russian Foundation for Basic Research (project No. 16-07-00075).
Received: 14.07.2017
Bibliographic databases:
Document Type: Article
Language: English
Citation: I. M. Zatsman, G. V. Lukyanov, V. A. Minin, V. A. Havanskov, S. K. Shubnikov, “Indicator evaluation of processes of knowledge transfer from science to technology”, Inform. Primen., 11:3 (2017), 132–141
Citation in format AMSBIB
\Bibitem{ZatLukMin17}
\by I.~M.~Zatsman, G.~V.~Lukyanov, V.~A.~Minin, V.~A.~Havanskov, S.~K.~Shubnikov
\paper Indicator evaluation of processes of knowledge transfer from science to technology
\jour Inform. Primen.
\yr 2017
\vol 11
\issue 3
\pages 132--141
\mathnet{http://mi.mathnet.ru/ia494}
\crossref{https://doi.org/10.14357/19922264170315}
\elib{https://elibrary.ru/item.asp?id=29992119}
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  • https://www.mathnet.ru/eng/ia494
  • https://www.mathnet.ru/eng/ia/v11/i3/p132
  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Информатика и её применения
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    Abstract page:223
    Full-text PDF :121
    References:32
    First page:3
     
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