收稿日期: 2016-01-13
修回日期: 2016-02-20
网络出版日期: 2016-03-05
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
Received date: 2016-01-13
Revised date: 2016-02-20
Online published: 2016-03-05
祝娜 , 王芳 . 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[J]. 图书情报工作, 2016 , 60(5) : 101 -109 . DOI: 10.13266/j.issn.0252-3116.2016.05.015
[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.
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