摘要
基于专利IPC与国民经济分类映射技术,可以获取行业专利数据。在此基础上,本文研究了基于语义聚类的行业及产业技术研发方向分析,定量进行了文化及相关产业的行业融合分析,在融合方向上寻找创新发展方向。最后,我们对文化及相关产业进行了实例验证,实验效果表明基于文化及相关产业内部融合可以找到重点融合数据,在融合数据中使用语义聚类和MI算法可以发现文化及相关产业的技术创新方向。
Based on the mapping of patent IPC and national economic classification,industry patent data can be obtained.On this basis,this paper conducted the industry and industry technology research and development direction analysis based on semantic clustering,quantitatively analyzed culture and its related industries to seek innovative development in the direction of fusion.The experimental results showed that the key integration data can be found based on the internal integration of culture and related industries.The semantic clustering and MI algorithm can be used in the fusion data to discover the technological innovation direction of culture and related industries.
作者
台一鸿
高宇强
张娇
TAI Yihong;GAO Yuqiang;ZHANG Jiao(Patent Examination Cooperation Jiangsu Center of the Patent Office,CNIPA,Jiangsu 215163,China;Sino-tong(Beijing)Consulting Co.,Ltd,Beijing 100012,China)
出处
《情报工程》
2019年第5期57-67,共11页
Technology Intelligence Engineering
基金
国家重点研发计划“知识产权数据智能分析技术及知识产权服务评价、模式标准体系建设”(2017YFB1401905)
关键词
文化产业
专利分析
语义聚类
研发方向
Cultural industry
patent analysis
semantic clustering
research and development direction
