Identification and Analysis of Converging Technology Based on Patent Co-Classification Relationship
Lucheng Lv(吕璐成); Tao Han(韩涛); Yajuan Zhao(赵亚娟); Xuezhao Wang(王学昭); Ping Zhao(赵萍)
2018
会议名称The ACM/IEEE Joint Conference on Digital Libraries in 2018 (JCDL 2018)
会议录名称JCDL '18 Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries
会议日期June 03 - 07, 2018
会议地点Fort Worth, Texas, USA
出版地New York, NY, USA
会议主办者the University of North Texas (UNT)
出版者ACM
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.
关键词Patent Data Mining Converging Technology Co-classification Analysis Technical Activity
学科领域情报学
URL查看原文
语种英语
文献类型会议论文
条目标识符http://ir.las.ac.cn/handle/12502/9820
专题中国科学院文献情报中心(北京)_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
第一作者单位中国科学院文献情报中心
通讯作者单位中国科学院文献情报中心
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]. New York, NY, USA:ACM,2018.
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