Abstract
Aims: Cloud computing has been a hot topic in recent years, yet its technology trend is
rarely comprehensively studied in peer-reviewed publications. Owing to a great number of professional
and technical terms and the increasing volume of technical data presented in patents, it is difficult
to analytically identify the timeframe of technological development.
Methods: To remedy this problem, this study uses a sequential pattern method and social network
analysis to develop the technological context of cloud computing.
Results & Discussion: The analysis of relative patent position, technology quality, and technology
life cycle was incorporated.
Conclusion: This study proposes a method of patent portfolio analysis on the technological level to
assist managers of cloud computing enterprises in developing competitive research and development
(R&D) strategies.
Keywords:
Cloud computing, sequential pattern, social network analysis, technological context, patent portfolios analysis, R&D strategy.
Graphical Abstract
[6]
S. Jun, and S.J. Lee, "Emerging technology forecasting using new patent information analysis", Int. J. Softw. Eng. Appl., vol. 6, pp. 107-116, 2012.
[7]
B. Lent, R. Agrawal, and R. Srikant, "Discovering trends in text databases", Proceedings of the 3rd Int’l Conference on Knowledge Discovery in Databases and Data Mining, vol. 97. 1997, pp. 227-230.
[11]
S. Jun, "“A forecasting model for technological trend using unsupervised learning”, database theory and application", Biosci. Biotechnol, pp. 51-60, 2011.
[20]
R. Agrawal, and R. Srikant, Mining sequential patterns. Proceeding of the International Conference on Data Engineering, 06-10 March 1995, Taipei, Taiwan, IEEE, 1995, pp. 3-14.
[22]
J.Y. Huang, "Patent network analysis of cloud computing by text mining", J. Technol., vol. 31, pp. 127-146, 2016. [b]
[26]
C. Douglas, J. LawsonDouglas, A. ReichardJoseph, R Harkulich, S Hessmer, D Chand, and W. Farchmin, "Smart device for industrial automation", US9363336B2, 2012.