Patent Data Analysis And Visualization System Based On Restful Service

Patent information and data as many of the originality of the research and the carrier of knowledge,analysis and statistics of it,we can find not only related to the development trend of scientific and technological achievements,but also can dig out such as strategic planning,market strategy,intellectual property rights transfer depth information,so as to provide support for national or business decisions.Therefore,the depth of the patent information mining and statistical analysis,has attracted th e attention of many researchers.Based on the research of link analysis algorithm and visualization tool,this paper designs and implements a patent data analysis and visualization system based on Restful services.This system is realized through online patent data acquisition and local upload,achieve the unified management of patent data;PageRank and HITS algorithm to carry on the statistical analysis of patent data based on real data and visualization of the analysis results using D3.js Web visualization tool;theory based on Apache Wink framework and Restful service.This article proposes a general framework for a patent data analysis and data visualization and data through a unified interface method of link analysis algorithm and visualization package,makes a variety of different methods in integrated framework,and achieve their dynamic binding at runtime,meet the users individualized needs;in addition,the user can design when the reserved interface quickly into the analysis of algorithms and visualization methods,and other business modules in the wrong frame Affect,enhance the scalability of the whole system.In summary,based on patent data analysis,data visualization and REST service theory for complex business needs,a variety of link analysis algorithms and visualization tools are encapsulated and integrated,so that the user can show the patent data analysis and statistical results from different angles,to meet the needs of individual users,improve the interactive user experience.