摘要
海量信息分析及基于分析结果得出相应的结论是一项非常重要的工作,该工作需要投入大量的时间和精力。本文涉及了基于论文与专利整合数据的研究方向发现模型,从论文和专利共同研究方向和新兴技术两个方面来揭示论文和专利之间关系,最后,我们对电动汽车论文和专利数据进行了实例验证。
Analyzing mass information and supporting insight based on analysis results are very important work but it needs much effort and time. Therefore, in this paper, a model based on the integration of the data in paper and patent is proposed to reaveal the relationship between paper and patent by analyzing their mutual researching area and mutual emerging technologies with knowledge mining and text mining.And then we examine the empirical research by the data of electric vehicle
作者
任智军
詹淑琳
范婷婷
REN Zhijun ZHAN Shulin FAN Tingting(Institute of Scientific and Technical Information of China, Beijing 100038 The China Patent Information Center, the State Intellectual Property Office, Beijing 100088)
出处
《情报工程》
2015年第4期88-94,共7页
Technology Intelligence Engineering
基金
中国博士后科学基金资助项目(基于论文与专利整合的分析和挖掘方法研究2013M540125)
关键词
论文
专利
知识挖掘
文本挖掘
知识发现
Papers,patents,knowledge mining,text mining,knowledge discovery