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JOURNALS // Informatika i Ee Primeneniya [Informatics and its Applications] // Archive

Inform. Primen., 2017 Volume 11, Issue 3, Pages 132–141 (Mi ia494)

This article is cited 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

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.

Received: 14.07.2017

Language: English

DOI: 10.14357/19922264170315



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