大模型时代下全文计量分析的应用与思考
——2023全文本文献计量分析学术沙龙综述

doi:10.13365/j.jirm.2024.02.162

信息资源管理学报 ›› 2024, Vol. 14 ›› Issue (2): 162-168,封2.doi: 10.13365/j.jirm.2024.02.162

• 会议综述 • 上一篇

大模型时代下全文计量分析的应用与思考 ——2023全文本文献计量分析学术沙龙综述

周海晨¹　章成志²　胡志刚³　徐硕⁴　毛进⁵　陈亮⁶

1.中国科学院成都文献情报中心，成都，610299；　
2.南京理工大学经济管理学院，南京，210094；　
3.华南师范大学科学技术与社会研究院，广州，510631；　
4.北京工业大学经济与管理学院，北京，100124；　
5.武汉大学信息管理学院，武汉，430072；　
6.中国科学技术信息研究所，北京，100038

出版日期:2024-03-26 发布日期:2024-04-11
作者简介:周海晨,研究助理,博士,研究方向为科技评价与文本挖掘,Email:zhouhc@clas.ac.cn;章成志,教授,博士,研究方向为信息组织、信息检索、数据挖掘及自然语言处理;胡志刚,教授,博士,研究方向为科学学与科学计量学;徐硕,教授,博士,研究方向为科学计量学、科技情报分析和数据挖掘;毛进，副教授，博士，研究方向为科技情报、大数据分析；陈亮，副研究员，博士，研究方向为数据挖掘。
基金资助:
国家自然科学基金面上项目“基于学术文献全文内容的细粒度算法实体抽取与评估研究”(72074113)的研究成果之一

Application and Reflection of Full-text Bibliometric in the Era of Large Models ——A Review of the 2023 Academic Salon on Full-text Bibliometric Analysis

Zhou Haichen¹　Zhang Chengzhi²　Hu Zhigang³　Xu Shuo⁴　Mao Jin⁵　Chen Liang⁶

1.National Science Library(Chengdu), Chinese Academy of Sciences, Chengdu, 610299;　
2. School of Economics & Management, Nanjing University of Science and Technology, Nanjing, 210094;　
3. Institute for Science, Technology and Society, South China Normal University, Guangzhou, 510631;　
4.School of Economics & Management, Beijing University of Technology, Beijing, 100124;　
5.School of Information Management, Wuhan University, Wuhan, 430072;　
6. Institute of Scientific and Technical Information of China, Beijing, 100038

Online:2024-03-26 Published:2024-04-11
About author:Zhou Haichen, research assistant, Ph.D., research interests include science and technology evaluation and text mining, Email: zhouhc@clas.ac.cn; Zhang Chengzhi, professor, Ph.D., research interests include information organization, information retrieval, data mining, and natural language processing; Hu Zhigang, professor, Ph.D., research interests include scientometrics and science of science; Xu Shuo, professor, Ph.D., research interests include scientometrics, science and technology intelligence analysis, and data mining; Mao Jin, associate professor, Ph.D., research interests include science and technology intelligence, big data analysis; Chen Liang, associate professor, Ph.D., research interests include data mining.
Supported by:
This study is an outcome of the project "Extraction and Evaluation of Fine-grained Algorithmic Entity from Full-text Content of Academic Documents”(Grant No. 72074113) supported by National Natural Science Foundation of China

摘要/Abstract

摘要： 2023年9月14日—16日，由中国科学院成都文献情报中心主办、科技创新评价研究中心（SERC）承办的“第六届科学计量与科技评价天府论坛”在成都举办。由章成志、胡志刚、徐硕等人共同发起的第四届“全文本文献计量分析”沙龙作为其中的一项重要活动，吸引了八十余位专家学者的积极参与和深入交流。本文通过对沙龙嘉宾的发言与研讨内容进行梳理与总结，将沙龙的主要内容归纳为大语言模型与全文本计量分析、全文计量分析的应用场景等方面，以期介绍国内外全文本文献计量分析的研究现状和发展趋势。

关键词: 全文本计量, 大语言模型, 颠覆性技术, 创新识别

Abstract: On September 14-16, 2023, the Sixth Chengdu Conference on Scientometrics & Evaluation was held, hosted by the National Science Library (Chengdu), Chinese Academy of Sciences and organized by the Sci-tech innovation Evaluation Research Center (SERC). The Fourth Academic Salon on Full-text Bibliometric analysis, initiated by Zhang Chengzhi and others, was an important event of the Chengdu Conference, receiving more than eighty experts and scholars' enthusiastic participation and in-depth communication. By combing and summarizing the speeches and discussions of the guests of the salon, this article summarizes the main contents of the salon into the aspects of large language model and full-text bibliometric analysis, the application scenario of full-text bibliometric analysis and so on, in order to reveal the research status and development trend of full-text bibliometric analysis.

Key words: Full-text bibliometrics, Large language model, Disruptive technology, Innovation identification

中图分类号:

G252.8

周海晨　章成志　胡志刚　徐硕　毛进　陈亮. 大模型时代下全文计量分析的应用与思考 ——2023全文本文献计量分析学术沙龙综述[J]. 信息资源管理学报, 2024, 14(2): 162-168,封2.

Zhou Haichen　Zhang Chengzhi　Hu Zhigang　Xu Shuo　Mao Jin　Chen Liang. Application and Reflection of Full-text Bibliometric in the Era of Large Models ——A Review of the 2023 Academic Salon on Full-text Bibliometric Analysis[J]. Journal of Information Resources Management, 2024, 14(2): 162-168,封2.

大模型时代下全文计量分析的应用与思考 ——2023全文本文献计量分析学术沙龙综述

Application and Reflection of Full-text Bibliometric in the Era of Large Models ——A Review of the 2023 Academic Salon on Full-text Bibliometric Analysis

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