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Prior-Art Relevance Ranking Based on the Examiner’s Query Log Content

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Challenging Problems and Solutions in Intelligent Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 634))

Abstract

This work belongs to the domain of technical information retrieval (IR) and, more specifically, patent retrieval. We show that the recorded history of patent examiner’s search queries can be used to create a more effective method of finding prior art patents than search methods based on titles and claims. We verify the performance of the proposed method experimentally. Our experiments show that we can almost double the recall measure, compared to classical techniques based on titles and claims. The other contribution of our work is the creation of a database of over half a million patent examiners queries (recorded search activity over the patents prosecution process). The paper also discusses the limitations of the current work and the ongoing research to further improve the proposed approach.

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Acknowledgments

The first author contribution is supported by the Foundation for Polish Science under International PhD Projects in Intelligent Computing. Project financed from The European Union within the Innovative Economy Operational Programme (2007–2013) and European Regional Development Fund.

Author information

Authors and Affiliations

  1. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Jakub Wajda

  2. University of North Carolina, Charlotte, NC, USA

    Wlodek Zadrozny

Authors
  1. Jakub Wajda
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  2. Wlodek Zadrozny
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Corresponding author

Correspondence to Jakub Wajda .

Editor information

Editors and Affiliations

  1. Dept. of Telecommunication & Inform proc, Ghent University, Gent, Belgium

    Guy de Trė

  2. Faculty of Maths and Information Science, Warsaw University of Technology, Warszawa, Poland

    Przemysław Grzegorzewski

  3. Polish Academy of Sciences, Systems Research Institute, Warszawa, Poland

    Janusz Kacprzyk

  4. Polish Academy of Sciences, Systems Research Institute, Warszawa, Poland

    Jan W. Owsiński

  5. Polish Academy of Sciences, Institute of Computer Science, Warszawa, Poland

    Wojciech Penczek

  6. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Sławomir Zadrożny

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Wajda, J., Zadrozny, W. (2016). Prior-Art Relevance Ranking Based on the Examiner’s Query Log Content. In: Trė, G., Grzegorzewski, P., Kacprzyk, J., Owsiński, J., Penczek, W., Zadrożny, S. (eds) Challenging Problems and Solutions in Intelligent Systems. Studies in Computational Intelligence, vol 634. Springer, Cham. https://doi.org/10.1007/978-3-319-30165-5_15

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  • DOI: https://doi.org/10.1007/978-3-319-30165-5_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30164-8

  • Online ISBN: 978-3-319-30165-5

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