基于专利IPC分类号的技术竞争对象的群组分析方法  

Patent Technology Competitor Group Analysis Method Based on IPC

作　　者：韩红旗[1] 付媛[1] 朱礼军[1] HAN Hongqi FU Yuan ZHU Lijun(Institute of Scientific and Technical Information of China, Beijing 100038, China)

机构地区：[1]中国科学技术信息研究所,北京100038

出　　处：《情报工程》2015年第4期77-87,共11页Technology Intelligence Engineering

基　　金：国家自然科学基金资助项目(编号:71473237);"十二五"国家科技支撑计划课题"专利信息资源挖掘与发现关键技术研究"(2013BAH21B02)资助

摘　　要：技术竞争对象群组是产业技术内的技术研发实体因为技术上接近而形成的集群。发现技术竞争对象群组,可以从较高层次上掌握产业技术领域内的竞争态势,给产业技术参与者和政策制定者提供有价值的情报信息。首先概述了主要的群组分析方法,然后引入了可视化的Lin Log图形聚类分析方法,从研发机构、省份和国家三个层面,提出了以IPC分类号为特征的技术竞争对象群组的识别流程模型。采集了燃料电池技术领域的专利数据作为实验研究,对数据进行了预处理,采取提出的方法对该领域的竞争对象群组进行了识别,验证了该方法的有效性。It is crucial to understand the technical groups of intra-industry and to master the competition in the field of technology. In order to provide valuable information to industry participants and policymakers, the Patent technology competitor group analysis method based on IPC is introduced. Firstly, the analysis method of groups is summarized. The recognition model of technological competitor groups characterized by the IPC classification number and the technical terms is put forward. Then, obtain patent data for this research in the field of fuel cell technology through multi-threaded Chinese patent data acquisition system. Finally, invoking LinLog visualization tools to do graphical clustering for research and development institutions, provinces and countries and the patent technology competitor analysis method is validated.

关 键 词：IPC分类号 竞争对象群组 LinLog算法 专利分析 

分 类 号：G35[文化科学—情报学]