Identification and Analysis of Converging Technology Based on Patent Co-Classification Relationship
Author(s) -
Lucheng Lv,
Tao Han,
Yajuan Zhao,
Xuezhao Wang,
Ping Zhao
Publication year - 2018
Publication title -
中国科学院文献情报中心机构知识库 (chinese academy of sciences)
Language(s) - English
Resource type - Conference proceedings
ISSN - 2575-7865
ISBN - 978-1-4503-5178-2
DOI - 10.1145/3197026.3203903
Subject(s) - patent analysis , identification (biology) , convergence (economics) , technological convergence , computer science , cluster (spacecraft) , manufacturing engineering , engineering , data science , telecommunications , computer network , botany , economics , biology , economic growth
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.
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