Identification and Analysis of Converging Technology Based on Patent Co-Classification Relationship

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	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.
会议录	JCDL '18 Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries
资助机构	the University of North Texas (UNT)
会议录出版者	ACM
会议录出版地	New York, NY, USA
学科主题	情报学
语种	英语
URL标识	查看原文
内容类型	会议论文
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.