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Technology and digitalization : Organization of scientific research in the magistracy. / Kononova, O. V.; Prokudin, D. E.

In: Journal of Physics: Conference Series, Vol. 1691, No. 1, 012113, 2020.

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Kononova, O. V. ; Prokudin, D. E. / Technology and digitalization : Organization of scientific research in the magistracy. In: Journal of Physics: Conference Series. 2020 ; Vol. 1691, No. 1.

BibTeX

@article{7a14d17ac06944cb912e8a559263003e,
title = "Technology and digitalization: Organization of scientific research in the magistracy",
abstract = "The problem of effective search, explication, and analysis of contextual knowledge is associated with an ever-increasing volume of available information, its non-formalization and poor structuredness, a high rate of updating of scientific knowledge, the polysemy of the terminological base used, the transfer of terms from one subject area to another without the necessary interpretation and adaptation. The existing tools for searching, explicating and analysing contextual knowledge are of little demand due to the lack of meaningful information both about the tools themselves and about the methods and algorithms for their application in science and practice, as well as the limited set of services provided by analytical software. The educational-methodical complex {"}Technologies of data extraction and mining in scientific research{"}is aimed at the formation of research and analytical competencies of undergraduates. The results of mastering the educational product will allow undergraduates to consciously apply in research practice an integrated approach (synthetic method) to the search and analysis of contextual knowledge, to use analytical software and environments with built-in services for explication, clustering, and statistical processing of scientific texts on the basis of this approach.",
author = "Kononova, {O. V.} and Prokudin, {D. E.}",
note = "Funding Information: The study was carried out with the financial support of the Vladimir Potanin Charitable Foundation within the framework of project GK200000654. Publisher Copyright: {\textcopyright} Published under licence by IOP Publishing Ltd. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 1st International Scientific Conference on Advances in Science, Engineering and Digital Education, ASEDU 2020 ; Conference date: 08-10-2020 Through 09-10-2020",
year = "2020",
doi = "10.1088/1742-6596/1691/1/012113",
language = "English",
volume = "1691",
journal = "Journal of Physics: Conference Series",
issn = "1742-6588",
publisher = "IOP Publishing Ltd.",
number = "1",

}

RIS

TY - JOUR

T1 - Technology and digitalization

T2 - 1st International Scientific Conference on Advances in Science, Engineering and Digital Education, ASEDU 2020

AU - Kononova, O. V.

AU - Prokudin, D. E.

N1 - Funding Information: The study was carried out with the financial support of the Vladimir Potanin Charitable Foundation within the framework of project GK200000654. Publisher Copyright: © Published under licence by IOP Publishing Ltd. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2020

Y1 - 2020

N2 - The problem of effective search, explication, and analysis of contextual knowledge is associated with an ever-increasing volume of available information, its non-formalization and poor structuredness, a high rate of updating of scientific knowledge, the polysemy of the terminological base used, the transfer of terms from one subject area to another without the necessary interpretation and adaptation. The existing tools for searching, explicating and analysing contextual knowledge are of little demand due to the lack of meaningful information both about the tools themselves and about the methods and algorithms for their application in science and practice, as well as the limited set of services provided by analytical software. The educational-methodical complex "Technologies of data extraction and mining in scientific research"is aimed at the formation of research and analytical competencies of undergraduates. The results of mastering the educational product will allow undergraduates to consciously apply in research practice an integrated approach (synthetic method) to the search and analysis of contextual knowledge, to use analytical software and environments with built-in services for explication, clustering, and statistical processing of scientific texts on the basis of this approach.

AB - The problem of effective search, explication, and analysis of contextual knowledge is associated with an ever-increasing volume of available information, its non-formalization and poor structuredness, a high rate of updating of scientific knowledge, the polysemy of the terminological base used, the transfer of terms from one subject area to another without the necessary interpretation and adaptation. The existing tools for searching, explicating and analysing contextual knowledge are of little demand due to the lack of meaningful information both about the tools themselves and about the methods and algorithms for their application in science and practice, as well as the limited set of services provided by analytical software. The educational-methodical complex "Technologies of data extraction and mining in scientific research"is aimed at the formation of research and analytical competencies of undergraduates. The results of mastering the educational product will allow undergraduates to consciously apply in research practice an integrated approach (synthetic method) to the search and analysis of contextual knowledge, to use analytical software and environments with built-in services for explication, clustering, and statistical processing of scientific texts on the basis of this approach.

UR - http://www.scopus.com/inward/record.url?scp=85098062938&partnerID=8YFLogxK

U2 - 10.1088/1742-6596/1691/1/012113

DO - 10.1088/1742-6596/1691/1/012113

M3 - Conference article

AN - SCOPUS:85098062938

VL - 1691

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

IS - 1

M1 - 012113

Y2 - 8 October 2020 through 9 October 2020

ER -

ID: 71582217