一种基于知识元共现的ESI研究前沿知识演进分析方法

doi:10.3772/j.issn.1000-0135.2018.11.003

情报学报

2018, Vol. 37

Issue (11): 1095-1113 DOI: 10.3772/j.issn.1000-0135.2018.11.003

情报分析方法与技术

本期目录 | 过刊浏览 | 高级检索

一种基于知识元共现的ESI研究前沿知识演进分析方法

孙震¹, 冷伏海²

1. 山东理工大学科技信息研究所,淄博 255000;
2. 中国科学院科技战略咨询研究院,北京 100190

A Method of Knowledge Evolution Analysis of ESI Research Fronts Based on Knowledge Element Co-occurrence

Sun Zhen¹, Leng Fuhai²

1. Institute of Scientific and Technical Information, Shandong University of Technology, Zibo 255000;
2. Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190

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摘要本文提出了一种基于知识元共现的ESI研究前沿知识演进分析方法,该方法基于文本挖掘和自然语言处理技术,从微观视角定量监测研究前沿的知识流动特征,可以为研判科技发展态势方向的战略情报研究提供思路。对《2016研究前沿》核心论文的施引文献全文进行实验部分文本截取,利用命名实体识别技术抽取每篇文献的关键创新知识元,对不同时间窗下的知识元共现网络进行中心性和模块度特征分析,从微观科学知识结构变迁的视角呈现研究前沿知识演进规律。通过与基于关键词和术语主题词共现分析结果的比较、利用《2017研究前沿》报告结果和权威会议论文等验证该方法的先进性和实用性,发现该方法能够通过对文献内部关键创新知识元素的链接重组分析,由内到外揭示研究前沿的微观发展脉络和变迁规律。

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	孙震
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关键词 ：知识元, 研究前沿, 科学计量学, 自然语言处理, 命名实体识别

收稿日期: 2018-01-16

作者简介: 孙震,男,1988年生,博士,讲师,主要研究领域为科技情报研究与情报学理论方法;冷伏海,男,1963年生,中国科学院科技战略咨询研究院战略情报研究所所长,博士,研究员,博士生导师,主要研究领域为科技情报研究与情报学理论方法,E-mail: lengfuhai@casipm.ac.cn。

引用本文:

孙震, 冷伏海. 一种基于知识元共现的ESI研究前沿知识演进分析方法[J]. 情报学报, 2018, 37(11): 1095-1113.
Sun Zhen, Leng Fuhai. A Method of Knowledge Evolution Analysis of ESI Research Fronts Based on Knowledge Element Co-occurrence. 情报学报, 2018, 37(11): 1095-1113.

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https://qbxb.istic.ac.cn/CN/10.3772/j.issn.1000-0135.2018.11.003 或 https://qbxb.istic.ac.cn/CN/Y2018/V37/I11/1095

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