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Extracting commercialization opportunities of the Internet of Things: Measuring text similarity between papers and patents.

Authors :
Takano, Yasutomo
Kajikawa, Yuya
Source :
Technological Forecasting & Social Change; Jan2019, Vol. 138, p45-68, 24p
Publication Year :
2019

Abstract

Abstract In the field of technology management, methods have been developed to detect technologies that are important in industry by analyzing massive numbers of documents. Such methods have been applied to the field of the Internet of Things as well to investigate technological trends. The Internet of Things consists of several conventional concepts, such as radio frequency identification, near field communication, and sensor networks. However, no research compares these technologies by analyzing massive quantities of papers and patents. Thus, in this study, we explored the research areas of technologies related to the Internet of Things, for which there are opportunities for commercialization in the near future. We also discuss potential applications of these technologies in diverse systems. Highlights • Extracting commercialization opportunities of the Internet of Things • Measuring text similarity between papers and patents • Results were good agreement with public government document contains IoT policy. • Extracted important technological options even experts did not discuss. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00401625
Volume :
138
Database :
Supplemental Index
Journal :
Technological Forecasting & Social Change
Publication Type :
Academic Journal
Accession number :
133258124
Full Text :
https://doi.org/10.1016/j.techfore.2018.08.008