The search for R&D partners based on patent data

Abstract

Abstract Nowadays, companies still rely heavily on expert knowledge when selecting research and development partners (R&D, R&D). In this paper, it is proposed to identify and select potential technology partners based on the analysis of the USPTO patent array using the Problem & Solution model. The process of identifying R&D partners will be based on the similarity of solutions to technological problems. This paper shows the development of software for extracting the semantic SAO structures from USPTO patent documents, which are used to form the Problem and Solution structures, and selecting potential technology partners based on them. The theoretical significance of the study lies in the developed algorithms for parsing patents; extracting SAO using semantic text analysis; formation of Problem-Solution structures based on SAO data; identifying R&D partners based on similarities in solutions to technological problems.

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