Patent Big Data Analysis by R Data Language for Technology Management

Massive results from researching and developing technologies have been piling diversely such as patent, paper, or news article. To improve the technological competitiveness, most companies have tried to analyze the results efficiently. The amount of the accumulated results is extremely large, so we have difficult to analyze them. But we have to analyze the big data containing the results of developed technologies. To solve this problem, we use R data language as an approach to technology analysis (TA). TA is to analyze the developed result of target technology using qualitative and quantitative methods, such as statistics and Delphi survey. In this paper, we study on a quantitative approach based on statistics, and analyze patent data by R data language. A patent document contains complete information of the developed technology, because patent system protects the inventor’s exclusive right for a limited time period. Therefore we propose a methodology of patent big data by R data language for technology management (TM). To illustrate how to apply our research to real filed, we perform a case study. This study contributes to R&D planning and new product development by TM through TA.