INTRODUCING METHODS OF MACHINE LEARNING INTO THE SYSTEM OF INTELLECTUAL PROPERTY MANAGEMENT WITH THE HELP OF BLOCK-CHAIN TECHNOLOGY
The article explains how block-chain technology has fundamentally changed traditional management practices in many areas of public life. Today, leading experts in the ﬁ eld of intellectual property management discuss the prospects for revolutionary changes in the institution of intellectual property based on the principles of the block-chain technology. The article focuses on the integration of machine learning methods into existing intellectual property management algorithms with the help of block-chain and IPChain. This will create new conditions for a more balanced development of the international market of intellectual property. The authors suggest using the methods of intellectual analysis of patent data with their subsequent clustering and classiﬁ cation to speed up the process of registration and use of the results of intellectual property. The article presents a new type of integration between block-chain and machine learning which will improve the efﬁ ciency of the existing systems for managing intellectual property. The technology discussed in the article is relevant both for business and for government bodies in the area of management and protection of rights to intellectual property.