| 基于学科期刊耦合强度的学科分类研究 |
| |
| 引用本文： | 张静,刘筱敏,武丽丽,马娜.基于学科期刊耦合强度的学科分类研究[J].中国科技期刊研究,2015,26(9):907-914. |
| |
| 作者姓名： | 张静 刘筱敏 武丽丽 马娜 |
| |
| 作者单位： | 中国科学院文献情报中心 北京北四环西路33号 100190,中国科学院文献情报中心 北京北四环西路33号 100190,中国科学院文献情报中心 北京北四环西路33号 100190,中国科学院文献情报中心 北京北四环西路33号 100190 |
| |
| 摘 要： | 【目的】学科分类作为科学研究的框架,在科学的发展中具有重要的作用。以计量学理论为基础,以《中国图书馆分类法》自然科学领域二级类目为分析对象,利用引文数据分析学科之间的相关关系,对二级类目进行修正,希望构建适应期刊分类定位需求的合适的分类体系。【方法】基于中国科学引文数据库,借助期刊之间的耦合强度研究学科之间的相关关系。【结果】通过聚类分析的方法,建立起一个经过整合之后的改进的学科分类体系,在此基础上运用关键词识别、主题挖掘等文本挖掘方法对新构建的学科分类体系的合理性进行解释。【结论】基于期刊耦合强度的学科分类体系具有符合目前期刊发展和学科发展的特点。
|
| 关 键 词： | 学科分类 期刊耦合 聚类分析 文本挖掘 中国图书馆分类法 |
| 收稿时间： | 2015/7/24 0:00:00 |
| 修稿时间： | 9/1/2015 12:00:00 AM |
The study of subject-classification based on journal coupling analysis |
| |
| ZHANG Jing,LIU Xiaomin,WU Lili and MA Na.The study of subject-classification based on journal coupling analysis[J].Chinese Journal of Scientific and Technical Periodicals,2015,26(9):907-914. |
| |
| Authors: | ZHANG Jing LIU Xiaomin WU Lili and MA Na |
| |
| Institution: | National Scince Library, Chinese Academy of Science, 33 Beisihuan Xilu, Beijing 100190, China,National Scince Library, Chinese Academy of Science, 33 Beisihuan Xilu, Beijing 100190, China,National Scince Library, Chinese Academy of Science, 33 Beisihuan Xilu, Beijing 100190, China and National Scince Library, Chinese Academy of Science, 33 Beisihuan Xilu, Beijing 100190, China |
| |
| Abstract: | Purposes] As the framework of scientific research, disciplinary classification plays an important role in the development of science. We study the relationship between the secondary disciplines belonging to natural science of CLC using objective computerised scientometrics, this study then gives some revises to the existing classification system so as to better adapt to the development of journal classification. Methods] Taking the CSCD database as our data source,this article studies the relationship of disciplines based on the coupling strength among journals. Findings] Then we try to set up an improved disciplinary classification system using cluster methods. Further, in order to identify and interpret the rationality of this improved system, we make use of some text mining methods such as key words recognition, topic detection. Conclusions] Our study shows that the disciplinary classification constructed in this article based on journal-based coupling is up to the present development of journals and discipline. |
| |
| Keywords: | Disciplinary Classification journal coupling cluster analysis text mining Chinese library classification |
|
| 点击此处可从《中国科技期刊研究》浏览原始摘要信息 |
| 点击此处可从《中国科技期刊研究》下载免费的PDF全文 |
|
