专利技术信息挖掘及实证研究:以我国的行李箱专利为例

Patent Technology Information Mining and Empirical Study: Taking Luggage Patent as Example

专利文献是一种重要的技术文本,蕴含丰富的专利技术信息,成为技术挖掘的重要对象。国内外常用的专利技术信息挖掘方法有基于网络、基于分类、基于聚类和基于信息抽取的专利技术信息挖掘方法。常用于专利技信息挖掘的工具很多,其中ROST CM6对中文专利技术信息挖掘支持性较好。以ROST CM6为基础,结合Citespace,对我国行李箱专利文献中的技术信息进行了深度挖掘和实证分析,可视化展示了不同时期我国行李箱专利技术的研发重点。

Patent document is an important technical text,which contains abundant patent technology information and becomes an important object of technical excavation.Through software and tools,the patent technology information contained in the patent text can be effectively mined and visualized.The patent data were processed and analyzed by statistical method,text mining method and visualization method.There are four kinds of patent technology information mining methods that commonly used at home and abroad,which are based on network,classification,clustering and information extraction.There are also many tools used in patent technology information mining,among which,ROST CM6 has better support for Chinese patent technology information mining.Based on ROST CM6 and combining Citespace,this paper makes a deep excavation and empirical analysis of technical information in the patent documents of luggage in our country,and visually displays the different periods of China’s luggage patent technology research and development focus.