中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Identification and Analysis of Converging Technology Based on Patent Co-Classification Relationship

文献类型:会议论文

作者Lucheng Lv(吕璐成); Tao Han(韩涛); Yajuan Zhao(赵亚娟); Xuezhao Wang(王学昭); Ping Zhao(赵萍)
出版日期2018
会议日期June 03 - 07, 2018
会议地点Fort Worth, Texas, USA
关键词Patent Data Mining Converging Technology Co-classification Analysis Technical Activity
英文摘要Patent documents are an ample source for technical knowledge, and increased dramatically in recent years. This paper aims at identifying and analyzing converging technology based on patent analysis. The identification method of Converging technology is through cluster analysis based on USPC co-occurrence matrix calculated by the cross USPC class patents of five parties during the 2005-2015 years. Finally, 161 converging technologies are identified. Converging technology is mainly distributed in the new generation of information technology, new material industry. High end equipment manufacturing industry is the most active industry in technological convergence.
资助机构the University of North Texas (UNT)
会议录JCDL '18 Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries
会议录出版者ACM
学科主题情报学
会议录出版地New York, NY, USA
语种英语
URL标识查看原文
源URL[http://ir.las.ac.cn/handle/12502/9820]  
专题文献情报中心_中国科学院文献情报中心_情报研究部
通讯作者Lucheng Lv(吕璐成)
作者单位National Science Library, Chinese Academy of Sciences, Beijing, China
推荐引用方式
GB/T 7714
Lucheng Lv,Tao Han,Yajuan Zhao,et al. Identification and Analysis of Converging Technology Based on Patent Co-Classification Relationship[C]. 见:. Fort Worth, Texas, USA. June 03 - 07, 2018.

入库方式: OAI收割

来源:文献情报中心

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