Abstract

In conditions of rapid technology changes rates, constant emergence of new product groups and value chains, the demand for qualitative analysis of patent and other scientific and technical information is growing more and more. Patent analytics in that regard should be comprehensive, apply universal approaches regardless of the subject and provide practical recommendations in the shortest possible time. Interest in patent analytics in the context of the tasks of managing science, technology and innovation at the state level is expressed in a wider range of research. Following significant increase in the size of patent collections subjected to analysis, can result in the overall quality drop of work and an increase in labor costs for collection, analysis and interpretation of patent data. This article is devoted to the features of optimizing work with the so-called. super-large collections (over 6,000 patent documents), and offers an adaptation of the traditional approach to building a patent landscape.

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