특허 정보를 활용한 클라우드 컴퓨팅 기술 구조 분석

This study explores the technological structure of cloud computing and derives its core technologies by analyzing patent information. We collected 865 patents of cloud computing from the US Patent and Trademark Office. Firstly, topic modeling with the latent Dirichlet allocation (LDA) was conducted to identify technology topics of cloud computing. 30 technology topics as “element technologies” were extracted and seven out of 30 technology topics were identified as hot topics. Secondly, two citation-based bibliometric techniques, bibliographic coupling and co-citation analysis, were conducted to identify technology clusters from the technology landscapes of cloud computing. 28 bibliographic coupling clusters were identified as “emerging technologies” and 26 co-citation clusters were identified as “core technologies.” The findings of this study are expected to be fruitfully used for formulation of technology strategy and R&D planning for cloud computing user firms as well as service providers.