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Title: Identification and Analysis of Converging Technology Based on Patent Co-Classification Relationship
Author: Lucheng Lv(吕璐成); Tao Han(韩涛); Yajuan Zhao(赵亚娟); Xuezhao Wang(王学昭); Ping Zhao(赵萍)
Issued Date: 2018
Conference Name: The ACM/IEEE Joint Conference on Digital Libraries in 2018 (JCDL 2018)
Conference Date: June 03 - 07, 2018
Conference Place: Fort Worth, Texas, USA
Keyword: Patent data mining ; Converging Technology ; Co-Classification Analysis ; Technical activity
Subject: 图书馆、情报与文献学::情报学
Corresponding Author: Lucheng Lv(吕璐成)
English Abstract: 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.
Sponsorship: the University of North Texas (UNT)
Related URLs: 查看原文
Source: JCDL '18 Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries
Publisher: ACM
Publish Place: New York, NY, USA
Language: 英语
Content Type: 会议论文
URI: http://ir.las.ac.cn/handle/12502/9820
Appears in Collections:中国科学院文献情报中心_情报研究部_会议论文

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description.institution: National Science Library, Chinese Academy of Sciences, Beijing, China

Recommended Citation:
Lucheng Lv,Tao Han,Yajuan Zhao,et al. Identification and Analysis of Converging Technology Based on Patent Co-Classification Relationship[C]. 见:The ACM/IEEE Joint Conference on Digital Libraries in 2018 (JCDL 2018). Fort Worth, Texas, USA. June 03 - 07, 2018.https://2018.jcdl.org/.
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