Development of a Patent Retrieval and Analysis Platform - A hybrid approach

Research highlights? In this study, we have developed a patent retrieval system call ARAP. ? ARAP integrated bibliographic coupling with text mining to enhance patent retrieval. ? To test its effectiveness, a series of tests was conducted with various settings. ? On best combination, it had reduced the no. of patent recommended to more than 90%. ? The results show that hybrid approach helps to reduce the effort of patent retrieval. In order to process large numbers of explicit knowledge documents such as patents in an organized manner, automatic document categorization and search are required. In this paper, we develop an intelligent retrieval system for patent analysis that helps companies manage patent documents more effectively. By composing both bibliographic coupling and text mining approaches, this paper proposes a hybrid structure for higher search accuracy. An experimental prototype called PRAP (Patent Retrieval and Analysis Platform) was developed. Testing indicates that the PRAP has significantly increased the accuracy of patent retrieval compared to traditional patent search methods. We believed that our works have provided a feasible architecture for an intelligent patent retrieval system.