Active early warning system and method for intelligent identification of parties involved in infringement of intellectual property rights

Abstract

The present invention relates to an active warning system and method for intelligent identification of parties involved in infringement of intellectual property rights, including a management server, a data server connected thereto, a distributed cluster server and an intelligent analysis server, the data server is also connected to the intelligent analysis server, and The management server preprocesses the imported relevant information and data of the parties involved in the case, and manages data analysis tasks and early warning tasks; the data server stores the preprocessed raw data information and stores the prediction results of the intelligent identification active early warning system for parties involved in intellectual property infringement; The distributed cluster server stores non-relational data based on the data preprocessed by the management server, and performs statistical calculations on the flow information of the parties involved in the case based on a predefined statistical model, and the calculation results are sent to the data server; The processing and analysis tasks are judged by the analysis and prediction model, the identification and early warning results are given, and the reports are generated and sent to the management server and data server.

Description

technical field [0001] The invention relates to the field of analysis, research and judgment of suspected intellectual property infringement cases, and specifically refers to an active early warning system and method for intelligent identification of parties involved in intellectual property infringement cases. Background technique [0002] An important trend in the era of big data is the socialization of data. From the Internet, mobile Internet to the Internet of Things, relevant data records generated by social networks can be found everywhere, which contain rich connotations and a lot of regular information. The socialization of data makes it possible for suspected intellectual property infringement to collect massive amounts of data in more dimensions. These data reflect all aspects of social activities from different angles and provide sufficient support for the acquisition of alleged intellectual property infringement data. With the development of computer science, in ...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the shortcomings in the above-mentioned prior art, and solve the problem of heavy workload and long calculation time for the supervision system to identify suspicious targets, and the present invention provides a method based on big data and artificial intelligence, based on short text Intelligent identification and active early warning system and method for parties involved in intellectual property infringement cases constructed by subject extraction, multi-source data feature calculation, deep learning, continuous reinforcement learning, integrated learning and other methods

Images