Disambiguation of patent inventors and assignees using high-resolution geolocation data

Scientific Data
Greg MorrisonFabio Pammolli

Abstract

Patent data represent a significant source of information on innovation, knowledge production, and the evolution of technology through networks of citations, co-invention and co-assignment. A major obstacle to extracting useful information from this data is the problem of name disambiguation: linking alternate spellings of individuals or institutions to a single identifier to uniquely determine the parties involved in knowledge production and diffusion. In this paper, we describe a new algorithm that uses high-resolution geolocation to disambiguate both inventors and assignees on about 8.5 million patents found in the European Patent Office (EPO), under the Patent Cooperation Treaty (PCT), and in the US Patent and Trademark Office (USPTO). We show this disambiguation is consistent with a number of ground-truth benchmarks of both assignees and inventors, significantly outperforming the use of undisambiguated names to identify unique entities. A significant benefit of this work is the high quality assignee disambiguation with coverage across the world coupled with an inventor disambiguation (that is competitive with other state of the art approaches) in multiple patent offices.

References

Nov 12, 1996·Proceedings of the National Academy of Sciences of the United States of America·A B Jaffe, M Trajtenberg
Apr 14, 2007·Science·Stefan WuchtyBrian Uzzi
Jan 15, 2010·ACM Transactions on Knowledge Discovery From Data·Vetle I Torvik, Neil R Smalheiser
Dec 12, 2012·Nature Biotechnology·Chiara FranzoniPaula Stephan
Apr 25, 2014·Scientific Reports·Pierre DevilleAlbert-László Barabási
Apr 24, 2015·Journal of the Royal Society, Interface·Hyejin YounJosé Lobo
Aug 12, 2015·Proceedings of the National Academy of Sciences of the United States of America·Alexander Michael Petersen

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Citations

Nov 7, 2019·Scientific Data·Gaétan de RassenfosseFlorian Seliger
Apr 20, 2019·Scientific Data·Jichao LiDashun Wang

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Software Mentioned

YQL
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