High Value Patent Information Mining and Empirical Research—A Case Study in the Field of Autonomous Driving
[Purpose/significance]Patent literature is a collection of technical,economic and legal intelligence documents,containing a wealth of valuable information.High-value patent information mining provides support for enterprises to assess the maintenance and abandonment of patents in the field,patent achievements transformation,patent management,to grasp the development of patents in the industry,explore the potential market,and to formulate patent strategy and development strategy.[Method/process]This paper takes the field of autonomous driving technology as an example,uses patent mining tools to display in a visual way,mining its technical,economic and legal high value patent information for empirical analysis.[Result/conclusion]Automatic driving is a newly developed technology in recent years,and there are many breakthroughs and applications in the technical field.However,due to the short time for a large number of patent applications and the short time for entering the market,the transformation of patents needs further development.Besides,the patent layout and protection also need to be further strengthened.
patent informationhigh value patent informationpatent visualizationinformation mining
NETL
NSTL
万方数据
