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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
Conference NameThe ACM/IEEE Joint Conference on Digital Libraries in 2018 (JCDL 2018)
Source PublicationJCDL '18 Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries
Conference DateJune 03 - 07, 2018
Conference PlaceFort Worth, Texas, USA
Publication PlaceNew York, NY, USA
Funding Organizationthe University of North Texas (UNT)
PublisherACM
AbstractPatent 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.
KeywordPatent Data Mining Converging Technology Co-classification Analysis Technical Activity
Subject Area情报学
URL查看原文
Language英语
Document Type会议论文
Identifierhttp://ir.las.ac.cn/handle/12502/9820
Collection中国科学院文献情报中心(北京)_情报研究部
Corresponding AuthorLucheng Lv(吕璐成)
AffiliationNational Science Library, Chinese Academy of Sciences, Beijing, China
First Author Affilication中国科学院文献情报中心
Corresponding Author Affilication中国科学院文献情报中心
Recommended Citation
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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