IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-03287970.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: https://hal.science/hal-03287970/document
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    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, Oxford University Press, vol. 108(3), pages 577-598.
    4. 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.
    5. 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.
    6. 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.
    7. Trajtenberg, Manuel, 1987. "Patents, Citations and Innovations: Tracing the Links," Foerder Institute for Economic Research Working Papers 275436, Tel-Aviv University > Foerder Institute for Economic Research.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Manuel Trajtenberg, 1987. "Patents, Citations and Innovations: Tracing the Links," NBER Working Papers 2457, National Bureau of Economic Research, Inc.
    13. 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.
    14. Ernst, Holger, 2003. "Patent information for strategic technology management," World Patent Information, Elsevier, vol. 25(3), pages 233-242, September.
    15. Vincent Frigant & Damien Talbot, 2005. "Technological determinism and modularity : lessons from a comparison between Aircraft and Auto Industries in Europe," Post-Print hal-00153097, HAL.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Johannes Pol, 2019. "Introduction to Network Modeling Using Exponential Random Graph Models (ERGM): Theory and an Application Using R-Project," Computational Economics, Springer;Society for Computational Economics, vol. 54(3), pages 845-875, October.
    2. C. Gay & C. Le Bas, 2005. "Uses without too many abuses of patent citations or the simple economics of patent citations as a measure of value and flows of knowledge," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(5), pages 333-338.
    3. C. Gay & C. Le Bas & P. Patel & K. Touach, 2005. "The determinants of patent citations: an empirical analysis of French and British patents in the US," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(5), pages 339-350.
    4. Petr Pavlínek & Pavla Žížalová, 2016. "Linkages and spillovers in global production networks: firm-level analysis of the Czech automotive industry," Journal of Economic Geography, Oxford University Press, vol. 16(2), pages 331-363.
    5. Mohamad Alghamdi, 2020. "Economics Performance Under Endogenous Knowledge Spillovers," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 27(2), pages 175-192, June.
    6. Thomas Rotolo & Scott Frickel, 2019. "When disasters strike environmental science: a case–control study of changes in scientific collaboration networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 301-317, July.
    7. Angelou, K. & Maragakis, M. & Kosmidis, K. & Argyrakis, P., 2021. "The evolution of triangular research and innovation collaborations in the European area," Journal of Informetrics, Elsevier, vol. 15(3).
    8. Changbae Mun & Sejun Yoon & Hyunseok Park, 2019. "Structural decomposition of technological domain using patent co-classification and classification hierarchy," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 633-652, November.
    9. Patrick Wolf & Tobias Buchmann, 2021. "Analyzing development patterns in research networks and technology," Review of Evolutionary Political Economy, Springer, vol. 2(1), pages 55-81, April.
    10. Shino Iwami & Arto Ojala & Chihiro Watanabe & Pekka Neittaanmäki, 2020. "A bibliometric approach to finding fields that co-evolved with information technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 3-21, January.
    11. Jan M. Gerken & Martin G. Moehrle, 2012. "A new instrument for technology monitoring: novelty in patents measured by semantic patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 645-670, June.
    12. Damien Talbot, 2005. "Les proximités, entre contrainte et libération de l’action : le cas d’EADS," Post-Print hal-02375016, HAL.
    13. Nawab Khan & Haitao Qu & Jing Qu & ChunMiao Wei & Shihao Wang, 2021. "Does Venture Capital Investment Spur Innovation? A Cross-Countries Analysis," SAGE Open, , vol. 11(1), pages 21582440211, March.
    14. Yannick Lung, 2008. "Peut-on développer une approche régulationniste de la firme ? Penser la diversité des modèles productifs et la variété des formes du capitalisme," Post-Print hal-00294284, HAL.
    15. Yannick Lung, 2008. "Modèles de firme et formes du capitalisme : Penser la diversité comme agenda de recherche pour la théorie de la régulation ," Post-Print hal-00150691, HAL.
    16. Med KECHIDI & Damien TALBOT, 2009. "Management of technical and organisational interactions by proximity: the hub firms in aeronautical sector (In French)," Cahiers du GREThA (2007-2019) 2009-11, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    17. Lybbert, Travis J. & Zolas, Nikolas J., 2014. "Getting patents and economic data to speak to each other: An ‘Algorithmic Links with Probabilities’ approach for joint analyses of patenting and economic activity," Research Policy, Elsevier, vol. 43(3), pages 530-542.
    18. Damien Talbot, 2018. "L’industrie aéronautique civile européenne : vers une banalisation ?," Post-Print halshs-02007393, HAL.
    19. Mario Benassi & Elena Grinza & Francesco Rentocchini & Laura Rondi, 2022. "Patenting in 4IR technologies and firm performance [Robots and jobs: evidence from US labor markets]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(1), pages 112-136.
    20. Cui, Jingbo & Li, Xiaogang, "undated". "Innovation and Firm Productivity: Evidence from the US Patent Data," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235603, Agricultural and Applied Economics Association.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:wpaper:hal-03287970. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.