文献计量数据库中科技领域框架的细化算法——以同步加速器、中子研究与开发为例

I. N. Chernova, O. V. Cherchenko
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引用次数: 0

摘要

为了评估2019-2027年联邦同步加速器和中子研究和研究基础设施发展科学技术计划(计划)的出版有效性,其开发者提出了在Web of Science核心集合(WoS)中的特殊搜索查询。本研究的目的是确定适应搜索查询的有效方法,提供最完整的项目主题出版物,并适用于国际和国内数据库。在申请参与该计划的出版物中,我们确定了关键字来验证搜索查询。我们使用WoS中的关键词搜索,Scopus,俄罗斯科学引文索引的核心,使用WoS和Scopus api识别出版物,VOSviewer中的图构建,还有另一种关键词提取器文本挖掘方法。在实证数据的基础上,提出了在文献计量数据库中形成特定科技领域出版物集的多阶段算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Algorithm for Refining a Framework of Scientific and Technological Field in Bibliometric Databases on the Example of Synchrotron, Neutron Research and Development
To assess the publication effectiveness of the Federal Scientific and Technical Program for the Development of Synchrotron and Neutron Research and Research Infrastructure for 2019–2027 (Program), its developers proposed the special search query in Web of Science Core Collection (WoS). The purpose of the study is to determine effective approaches to adaptation of the search query providing the most complete coverage of the Program topics publications and applicable to international and domestic databases. In publications from applications for participation in the Program, we identified keywords to validate the search query. We used keyword search in WoS, Scopus, core of Russian Index of Science Citation, identification of publications by using WoS and Scopus APIs, graph building in VOSviewer, Yet Another Keyword Extractor text mining method. On the basis of empirical data, a multistage algorithm was proposed to the formation of a specific scientific and technological field collection of publications in bibliometric databases.
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