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基于专利文献的技术演化分析方法研究
引用本文:方曙,胡正银,庞弘燊,张娴.基于专利文献的技术演化分析方法研究[J].图书情报工作,2011,55(22):42-46.
作者姓名:方曙  胡正银  庞弘燊  张娴
作者单位:中国科学院国家科学图书馆成都分馆
基金项目:中国科学院知识产权专项工作项目“中国科学院知识产权信息服务”(项目编号:Y11009)研究成果之一
摘    要:在分析现有方法之不足的基础上,提出一种更完善的基于专利文献的技术演化分析方法:①采用分类号替代关键词作为专利文档聚类的基础;②采用基于语义的分类号-专利文档相似矩阵代替关键词-专利文档存在矩阵聚类;③采用更适合小样本聚类的系统聚类法。以石墨烯传感器技术为例,进行实证分析,绘制出石墨烯传感器技术层次语义网络图与技术演化图。研究结果显示,该方法可较好地应用于专利技术演化分析。

关 键 词:语义分析  专利分析  技术演化  关键词语义网络  
收稿时间:2011-02-21

Study on the Method of Analyzing Technology Evolution Based on Patent Documents
Fang Shu Hu Zhengyin Pang Hongshen Zhang Xian The Chengdu Branch of National Science Library,Chinese Academy of Sciences,Chengdu.Study on the Method of Analyzing Technology Evolution Based on Patent Documents[J].Library and Information Service,2011,55(22):42-46.
Authors:Fang Shu Hu Zhengyin Pang Hongshen Zhang Xian The Chengdu Branch of National Science Library  Chinese Academy of Sciences  Chengdu
Institution:The Chengdu Branch of National Science Library, Chinese Academy of Sciences,
Abstract:This paper proposes an improved analysis method on the basis of an existing method of patent semantic analysis for emerging technologies.Compared with the existing method,this new method has the following improvements:① using patent classifications instead of keywords as the basis of the patent documents clustering;②using fuzzy similarity matrix of patent classifications-patent documents instead of keywords-patent documents existence matrix in clustering;③ using hierarchical clustering analysis which is more suitable for small samples instead of k-Means clustering algorithm.Finally,the authors select the field of graphene sensor for empirical analysis,and draw semantic networks of technology keywords and technology evolution maps of graphene sensor.By comparison,the improved method can get more precise semantic network of technology keywords and clearer technology evolution map.The result shows that this new method can support better the patent analysis of technology evolution.
Keywords:semantic analysis patent analysis technology evolution keywords semantic network  
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