图书情报工作

图书情报工作 >

2022 , Vol. 66 >Issue 12: 139 - 151

DOI: https://doi.org/10.13266/j.issn.0252-3116.2022.12.013

综述述评

学科领域研究前沿识别方法研究进展

  • 张雪 ,
  • 张志强 ,
  • 曹玲静 ,
  • 阮伟南 ,
  • 任晓亚 ,
  • 冯志刚
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  • 1. 中国科学院成都文献情报中心 成都 610041;
    2. 中国科学院大学经济与管理学院图书情报与档案管理系 北京 100190
张雪,博士研究生;曹玲静,博士研究生;阮伟男,博士研究生;任晓亚,博士研究生;冯志刚,博士研究生。

收稿日期: 2021-12-06

  修回日期: 2022-02-21

  网络出版日期: 2022-06-25

基金资助

本文系国家社会科学基金重点项目"面向领域知识发现的学科信息学理论与应用研究"(项目编号:17ATQ008)研究成果之一。

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Research Progress of Research Front Recognition Methods in Subject Fields

  • Zhang Xue ,
  • Zhang Zhiqiang ,
  • Cao Lingjing ,
  • Ruan Weinan ,
  • Ren Xiaoya ,
  • Feng Zhigang
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  • 1. Chengdu Library and Information Center, Chinese Academy of Sciences, Chengdu 610041;
    2 Department of Library, Information and Archives Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190

Received date: 2021-12-06

  Revised date: 2022-02-21

  Online published: 2022-06-25

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摘要

[目的/意义]梳理国内外研究前沿相关成果,归纳总结现有研究存在的问题,为学科领域研究前沿识别提供参考借鉴。[方法/过程]首先对研究前沿识别的必要性进行归纳总结,其次对相关概念进行辨析,再次在调研国内外相关研究基础上从研究前沿识别方法研究、研究前沿识别新方向两个层面对其进行归纳整理,最后指出现有研究不足并对未来发展提出展望。[结果/结论]就概念界定而言,通过从时间维度和定义范围两方面辨析与研究前沿相关的系列概念,最终明确研究前沿的内涵。就识别方法而言,经典的研究方法包括直接引用、共被引分析、文献耦合以及基于词簇的研究前沿识别方法;同时,基于多源数据、多维指标以及机器学习算法的研究前沿识别是未来研究的新方向。在以上分析基础上,总结不同类型研究前沿识别方法的不足以及存在的普适性问题,并对未来研究重点进行展望。

关键词： 研究前沿; 专家判读; 引文分析; 词簇分析; 多源数据; 多维指标

本文引用格式

张雪 , 张志强 , 曹玲静 , 阮伟南 , 任晓亚 , 冯志刚 . 学科领域研究前沿识别方法研究进展[J]. 图书情报工作, 2022 , 66(12) : 139 -151 . DOI: 10.13266/j.issn.0252-3116.2022.12.013

Abstract

[Purpose/Significance] Sorting out the relevant researches of domestic and foreign research front, this paper summarizes the problems existing in the existing researches, and provides references for the identification of the research front in the subject field. [Method/Process] This paper first summarized the necessity of research front identification, then discriminated the relevant concepts. Subsequently, based on the investigation of domestic and foreign relevant researches, this paper classified it from two aspects of the research methods of research front identification and the new direction of research front identification, and finally put forward the existing research deficiencies and prospects for the future development. [Result/Conclusion] In terms of concept definition, the connotation of the research front is finally clarified by analyzing the series of concepts related to the research front from two perspectives of the time dimension and the definition scope. In terms of identification methods, classical research methods include direct citation, co-citation analysis, literature coupling, and word cluster-based methods for identifying research fronts; at the same time, research front identification based on multi-source data, multi-dimensional indicators and machine learning algorithms is a new direction of the future research. On the basis of the above analysis, this paper summarizes the shortcomings of different types of research front identification methods and the existing universal problems, and looks forward to the future research priorities.

Key words： research front; expert interpretation; citation analysis; word cluster analysis; multi-source data; multi-dimensional indicators

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