图书情报工作

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2024 , Vol. 68 >Issue 24: 104 - 113

DOI: https://doi.org/10.13266/j.issn.0252-3116.2024.24.009

情报研究

基于BERTopic的大科学装置科学研究联合基金资助主题挖掘

  • 王志强 ,
  • 李宜展 ,
  • 李云龙 ,
  • 李泽霞
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  • 1 中国科学院文献情报中心, 北京 100190;
    2 中国科学院大学经济与管理学院信息资源管理系, 北京 100190;
    3 中国科学院前沿科学与教育局, 北京 100864
王志强，硕士研究生；李宜展，副研究员，博士；李云龙，教授，博士；李泽霞，研究员，博士，通信作者，E-mail:lizexia@mail.las.ac.cn。

收稿日期: 2023-12-04

  修回日期: 2024-02-26

  网络出版日期: 2024-12-23

基金资助

本文系2022年中国科学院文献情报能力建设专项“空间光电与重大科研设施领域科技态势战略研判”（项目编号：E2290447）和2023年中国科学院文献情报能力建设专项“科技领域态势分析与服务——重大科技基础设施领域”（项目编号：E3290422）研究成果之一。

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Theme Mining of the Projects by Joint Research Fund of Large-scale Scientific Facility Based on BERTopic

  • Wang Zhiqiang ,
  • Li Yizhan ,
  • Li Yunlong ,
  • Li Zexia
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  • 1 National Science Library, Chinese Academy of Sciences, Beijing 100190;
    2 School of Economics and Management, University of CAS, Beijing 100190;
    3 Bureau of Frontier Sciences and Education, Chinese Academy of Sciences, Beijing 100864
Wang Zhiqiang, master candidate;Li Yizhan, associate research fellow, PhD;Li Yunlong, professor, PhD;Li Zexia, professor, PhD, corresponding author, E-mail:lizexia@mail.las.ac.cn.

Received date: 2023-12-04

  Revised date: 2024-02-26

  Online published: 2024-12-23

Supported by

This work is supported by 2022 Special Project on Library Capacity Building of the Chinese Academy of Sciences “Strategic Analysis of Science and Technology Trend in the Field of Space & Optoelectronics and Major Research Infrastructure” (Grant No. E2290447); 2023 Special Project on Library Capacity Building of the Chinese Academy of Sciences “Trend Analysis and Services in Science and Technology——Major Research Infrastructure” (Grant No. E3290422).

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摘要

[目的/意义] 明晰大科学装置基金资助项目和资助论文的主题信息，为未来国家围绕重大设施的资助布局提供决策参考。[方法/过程] 利用BERTopic在语义层面对大科学装置科学研究联合基金资助项目与资助论文进行主题提取。[结果/结论] 研究发现，不同类型的大科学装置研究主题有其特定重点，研究主题分布和优势研究主题具有鲜明特征。依托大科学装置的研究型项目居多，与新原理、新方法与关键技术等相关研究项目较少。通过对比大科学装置科学研究联合基金资助项目主题和论文主题分析的异同，对基金的管理工作和未来大科学装置的资助布局提供一定的参考借鉴。

关键词： 主题模型; BERTopic; 主题识别; 大科学装置; 联合基金

本文引用格式

王志强 , 李宜展 , 李云龙 , 李泽霞 . 基于BERTopic的大科学装置科学研究联合基金资助主题挖掘[J]. 图书情报工作, 2024 , 68(24) : 104 -113 . DOI: 10.13266/j.issn.0252-3116.2024.24.009

Abstract

[Purpose/Significance] To clarify the theme information of the projects and published papers funded by the large-scale scientific facility fund can provide a reference for the future research layout of large-scale scientific facility. [Method/Process] The BERTopic deep learning model was used to extract the topic of the projects and published papers funded by the joint research fund of large-scale scientific facility at the semantic level. [Result/Conclusion] The research finds that different types of large-scale scientific facility have their specific focus, and their distribution and advantages have distinct characteristics. Most of the research projects rely on large-scale scientific facility, and the research related on new principles, new methods and key technologies are less. The analysis of the similarities and differences of the project and the paper funded by the fund provides certain reference for the fund management and the layout of large-scale scientific facility in the future.

Key words： topic model; large-scale scientific facility; joint research fund; BERTopic; topic identification

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