信息资源管理学报 ›› 2016, Vol. 6 ›› Issue (4): 83-90.doi: 10.13365/j.jirm.2016.04.083

• 研究论文 • 上一篇    下一篇

国内社会化标注研究的知识图谱分析

邰杨芳 陈新国   

  • 收稿日期:2016-04-16 出版日期:2016-10-26 发布日期:2016-10-26
  • 作者简介:邰杨芳,博士生,讲师,研究方向为语义检索、知识管理;陈新国(通讯作者),教授,博士生导师,研究方向为知识管理与科技创新,Email:chenxinguo01@tyut.edu.cn。
  • 基金资助:

    本文系国家社科基金项目“基于框架网络本体的标签系统语义分析研究”(13TCQ030)的研究成果之一。

Knowledge Map of Domestic Research on Social Tagging

Tai Yangfang Chen Xinguo   

  • Received:2016-04-16 Online:2016-10-26 Published:2016-10-26

摘要:

社会标注作为当前web2.0环境下一种重要的网络信息资源的组织方式,受到情报学研究领域学者们的广泛关注,国内相关的研究也越来越多。本文运用了社会网络分析法、共词聚类分析法和词频分析法对现有相关研究文献进行分析,揭示该领域的科学研究结构,重点分析该领域的科研合作团体及其研究主题、当前研究热点及未来研究趋势,旨在促进领域内科研合作与交流、提供社会标注领域的未来研究方向。

关键词: 社会标注, 网络信息组织, 知识图谱, 研究热点

Abstract:

Social tagging,as an important way of network information resource organization in current web2.0 environment, has received extensive attention from scholars in the field of information science and more and more research and work relating to social tagging have been done in China. Using methods of social network analysis, clustering analysis and word frequency analysis, this paper, taking the existing relevant research literature of China as the analyzed object, reveals the scientific research structure of social tagging. Its analysis focuses mainly on the scientific research cooperation groups and their research topics, the current research hotspots and the future research trends. The work of this paper is aiming to promote the cooperation and exchanges between scholars and their groups, to provide referenced topics and research direction for the future research.

Key words: Social tagging, Online information organiztion, Knowledge map, Hot research area

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