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A method to reduce false positives in a patent query
[Une méthode pour réduire les faux positifs dans une requête brevet]

Author

Listed:
  • Johannes van Der Pol

    (GREThA - Groupe de Recherche en Economie Théorique et Appliquée - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique, VIA Inno - Plateforme de recherche VIA Inno - BSE - Bordeaux Sciences Economiques - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique)

  • Jean-Paul Rameshkoumar

    (GREThA - Groupe de Recherche en Economie Théorique et Appliquée - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique, VIA Inno - Plateforme de recherche VIA Inno - BSE - Bordeaux Sciences Economiques - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique)

Abstract

The aim of this paper is to present a method that allows researchers and analysts to reduce the number of false positives in a patent query. Patents are not only used for prior art searches but increasingly for competitive analyses and the analysis of the evolution of technology. When these case focus on specific technological domains, non-experts will aim to identify patents related to their focus-technology. In certain cases this can require complex queries to contain thousands of patents. It then becomes difficult to identify false positives. We present a method that allows researchers and analysts to refine their query on large datasets.

Suggested Citation

  • Johannes van Der Pol & Jean-Paul Rameshkoumar, 2021. "A method to reduce false positives in a patent query [Une méthode pour réduire les faux positifs dans une requête brevet]," Working Papers hal-03287970, HAL.
    • Handle: RePEc:hal:wpaper:hal-03287970
    Note: View the original document on HAL open archive server: https://hal.science/hal-03287970
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    References listed on IDEAS

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    1. Johannes van der Pol, 2018. "Explaining the structure of collaboration networks: from firm-level strategies to global network structure," Cahiers du GREThA (2007-2019) 2018-02, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    2. Trippe, Anthony J., 2003. "Patinformatics: Tasks to tools," World Patent Information, Elsevier, vol. 25(3), pages 211-221, September.
    3. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 577-598.
    4. Vincent Frigant & Damien Talbot, 2005. "Technological Determinism and Modularity: Lessons from a Comparison between Aircraft and Auto Industries in Europe," Industry and Innovation, Taylor & Francis Journals, vol. 12(3), pages 337-355.
    5. Johannes Pol & Jean-Paul Rameshkoumar, 2018. "The co-evolution of knowledge and collaboration networks: the role of the technology life-cycle," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 307-323, January.
    6. J. van Der Pol & J-P. Rameshkoumar & D. Virapin & B. Zozime, 2015. "The co-evolution of knowledge and collaboration networks: the role of the technology life-cycle," Post-Print hal-02269511, HAL.
    7. Grabowski, Henry G & Mueller, Dennis C, 1972. "Managerial and Stockholder Welfare Models of Firm Expenditures," The Review of Economics and Statistics, MIT Press, vol. 54(1), pages 9-24, February.
    8. Manuel Trajtenberg, 1987. "Patents, Citations and Innovations: Tracing the Links," NBER Working Papers 2457, National Bureau of Economic Research, Inc.
    9. J. van der Pol & J-P. Rameshkoumar & D. Virapin & B. Zozime, 2015. "The co-evolution of knowledge and collaboration networks: the role of the technology life-cycle," Post-Print hal-02269511, HAL.
    10. Robert J. W. Tijssen & Alfredo Yegros-Yegros & Jos J. Winnink, 2016. "University–industry R&D linkage metrics: validity and applicability in world university rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 677-696, November.
    11. Maïder Saint-Jean & Nabila Arfaoui & Eric Brouillat & David Virapin, 2021. "Patterns of Technology Knowledge in the Case of Ocean Energy Technologies," Journal of Innovation Economics, De Boeck Université, vol. 0(1), pages 101-133.
    12. Ernst, Holger, 2003. "Patent information for strategic technology management," World Patent Information, Elsevier, vol. 25(3), pages 233-242, September.
    13. Fang Han & Christopher L. Magee, 2018. "Testing the science/technology relationship by analysis of patent citations of scientific papers after decomposition of both science and technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 767-796, August.
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    Cited by:

    1. Ernest Miguelez & Andrea Morrison, 2023. "Migrant inventors as agents of technological change," The Journal of Technology Transfer, Springer, vol. 48(2), pages 669-692, April.

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    More about this item

    Keywords

    Patent Query; Patents; Competitive Intelligence; Technology Mapping; Information systems; Patent landscaping;
    All these keywords.

    JEL classification:

    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital

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