图书情报工作 ›› 2016, Vol. 60 ›› Issue (5): 101-109.DOI: 10.13266/j.issn.0252-3116.2016.05.015

• 知识组织 • 上一篇    下一篇

基于主题关联的知识演化路径识别研究——以3D打印领域为例

祝娜, 王芳   

  1. 南开大学商学院信息资源管理系 天津 300071
  • 收稿日期:2016-01-13 修回日期:2016-02-20 出版日期:2016-03-05 发布日期:2016-03-05
  • 通讯作者: 王芳(ORCID:0000-0002-2655-9975),教授,博士生导师,通讯作者,E-mail:wangfangnk@163.vip.com
  • 作者简介:祝娜(ORCID:0000-0002-8425-1231),博士研究生。
  • 基金资助:

    本文系国家社会科学基金重大项目"我国网络社会治理研究"(项目编号:14ZDA063)研究成果之一。

Identification of Knowledge Evolutionary Path Based on Topic Relevance:Taking the Case of 3D Printing Field

Zhu Na, Wang Fang   

  1. Department of Information Resources Management, Business School, Nankai University, Tianjin 300071
  • Received:2016-01-13 Revised:2016-02-20 Online:2016-03-05 Published:2016-03-05

摘要:

[目的/意义]科技创新需要快速发现特定科技领域中关键知识衍生与演化的路径,探索未来的知识创新趋势,为此,有必要对知识演化路径进行动态可视化研究。[方法/过程]从主题关联的角度入手,以3D打印领域为例,基于LDA识别出科技创新主题并进行分阶段细化分析,探测主题集群内部与外部的关联强度,识别出主题不同生命周期的演化能力及其演化类型。[结果/结论]实验结果表明,该方法从主题关联的角度入手,构建了基于时间序列的知识演化路径,丰富了知识管理和信息计量的理论研究方法,在实践上则有助于探测科技创新知识。

关键词: 主题识别, 关联强度, 时间序列, 知识演化路径

Abstract:

[Purpose/significance] The research of static visualization on the knowledge evolutionary path has been unable to meet the needs of knowledge management, knowledge innovation and technological development.[Method/process] From the perspective of topics relevance, taking the case of 3D printing field, this paper identifies the scientific and technological innovation topics based on the LDA model and makes detailed analysis in every phase, probes the internal and external association strength of the topic clusters, and identifies the evolution ability and evolution type of topics in different life cycle.[Result/conclusion] Experimental results show that the method can build the knowledge evolutionary path based on the time series from the perspective of topic relevance. It can enrich the research methods of knowledge management and information measurement and help detecting the technological innovation in the practice.

Key words: topicidentification, association strength, time series, knowledge evolutionary path

中图分类号: