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Singling out individual inventors from patent data

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  • Ernest Miguélez

    ()
    (AQR-IREA. Department of Econometrics, Statistics and Spanish Economy. University of Barcelona, Av. Diagonal 690, 08034 Barcelona, Spain)

  • Ismael Gómez-Miguélez

    ()
    (Signal Theory and Communications Department. Technical University of Catalonia, c/ Jordi Girona 1-3, 08034 Barcelona, Spain.)

Abstract

An increasing number of studies have sprung up in recent years seeking to identify individual inventors from patent data. Different heuristics have been suggested to use their names and other information disclosed in patent documents in order to find out “who is who” in patents. This paper contributes to this literature by setting forth a methodology to identify them using patents applied to the European Patent Office (EPO hereafter). As in the large part of this literature, we basically follow a three-steps procedure: (1) the parsing stage, aimed at reducing the noise in the inventor’s name and other fields of the patent; (2) the matching stage, where name matching algorithms are used to group possible similar names; (3) the filtering stage, where additional information and different scoring schemes are used to filter out these potential same inventors. The paper includes some figures resulting of applying the algorithms to the set of European inventors applying to the EPO for a large period of time.

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File URL: http://www.pcb.ub.edu/xreap/aplicacio/fitxers/XREAP2011-03.pdf
File Function: First version, 2011
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File URL: http://www.pcb.ub.edu/xreap/aplicacio/fitxers/XREAP2011-03.pdf
File Function: Revised version, 2011
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Bibliographic Info

Paper provided by Xarxa de Referència en Economia Aplicada (XREAP) in its series Working Papers with number XREAP2011-03.

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Length: 46 pages
Date of creation: May 2011
Date of revision: May 2011
Handle: RePEc:xrp:wpaper:xreap2011-03

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Postal: Espai de Recerca en Economia, Facultat de Ciències Econòmiques i Empresarials, Universitat de Barcelona, c/ Tinent Coronel Valenzuela, 1-11, 08034 Barcelona
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Web page: http://www.pcb.ub.edu/xreap
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Related research

Keywords: “Names game”; patent data; unique inventors; name matching algorithms;

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References

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  1. Zvi Griliches, 1990. "Patent Statistics as Economic Indicators: A Survey," NBER Working Papers 3301, National Bureau of Economic Research, Inc.
  2. Ajay Agrawal & Iain Cockburn & John McHale, 2003. "Gone But Not Forgotten: Labor Flows, Knowledge Spillovers, and Enduring Social Capital," NBER Working Papers 9950, National Bureau of Economic Research, Inc.
  3. Julio Raffo & Stéphane Lhuillery, 2009. "How to play the “Names Game”: Patent retrieval comparing different heuristics," CEMI Working Papers cemi-workingpaper-2009-00, Ecole Polytechnique Fédérale de Lausanne, Collège du Management de la Technologie, Management of Technology and Entrepreneurship Institute, Chaire en Economie et Management de l'Innovation.
  4. Jinyoung Kim & Sangjoon John Lee & Gerald Marschke, 2007. "International Knowledge Flows: Evidence from an Inventor-Firm Matched Data Set," Discussion Paper Series 0706, Institute of Economic Research, Korea University.
  5. Melamed, Ran & Shiff, Gil & Trajtenberg, Manuel, 2006. "The 'Names Game': Harnessing Inventors Patent Data for Economic Research," CEPR Discussion Papers 5833, C.E.P.R. Discussion Papers.
  6. Laura Bottazzi & Giovanni Peri, . "Innovation and Spillovers in Regions: Evidence from European Patent Data," Working Papers 215, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  7. Grid Thoma & Salvatore Torrisi, 2007. "Creating Powerful Indicators for Innovation Studies with Approximate Matching Algorithms. A test based on PATSTAT and Amadeus databases," KITeS Working Papers 211, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Dec 2007.
  8. Stéphane Maraut & Hélène Dernis & Colin Webb & Vincenzo Spiezia & Dominique Guellec, 2008. "The OECD REGPAT Database: A Presentation," OECD Science, Technology and Industry Working Papers 2008/2, OECD Publishing.
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