Association of Data Sharing and Intellectual Property Protection in the Big Data Era

Abstract

With the rapid development of the information age, the sharing of social data has been promoted to a certain extent, but it has also made intellectual property rights extremely vulnerable to infringement. In the era of big data, the application of multimedia technology has given new data to existing data. Power and vitality is also a huge problem for intellectual property rights. The purpose of this thesis is to study the relationship between data sharing and intellectual property protection in the era of big data. In this article, we use the complexity assumption method and the performance analysis method to sequentially analyze typical intellectual property infringement cases, and summarize our experience and concerns in preventing intellectual property crimes. Provide reference prevention mechanisms and models, and search for criminal documents related to intellectual property infringement through CNKI and other document channels, and use this as a basis for practical intellectual property protection. Explore theoretical systems for acquiring knowledge and other aspects. You need to acquire and understand your property. Quantitatively analyze various intellectual property infringement crime data in a specific period or region to determine the law and characteristics of intellectual property infringement crime cases. Intellectual property is an important task related to data analysis in big data applications. Even if intellectual property rights are used, regardless of whether intellectual property rights are to be protected, new technologies in the era of big data have increased capabilities in related fields by 10%.