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Future Patent Search

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Current Challenges in Patent Information Retrieval

Part of the book series: The Information Retrieval Series ((INRE,volume 37))

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Abstract

In this chapter we make some predictions for patent search in about 10 years’ time—in 2026. We base these predictions on the contents of the earlier part of the book, the observed differences between this second edition and the first edition of the book as well as on some data and trends not well represented in the book (for one reason or another). We consider primarily incorporating knowledge of different sorts of patent search into the patent search process; utilising knowledge of the subject domain of the search into the patent search system; utilising multiple sources of data within the search system; the need to address the requirement to deal with multiple languages in patent search; and the need to provide effective visualisation of the results of patent searches. We conclude the real need is to find ways to support search independent of language or location.

The content of this article does not represent the opinion of Dr. Diallo’s employer. Views expressed are solely those of the author in his private capacity.

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Authors and Affiliations

  1. European Patent Office, Patentlaan 2, 2288 EE, Rijswijk, The Netherlands

    Barrou Diallo

  2. TU Wien, Vienna, Austria

    Mihai Lupu

Authors
  1. Barrou Diallo
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Correspondence to Barrou Diallo .

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Editors and Affiliations

  1. Institute for Software Engineering & Interactive Systems, Vienna University of Technology, Vienna, Austria

    Mihai Lupu

  2. Research Platform Responsible Research and Innovation in Academic Practice, University of Vienna, Vienna, Austria

    Katja Mayer

  3. Information & Society Research Division, National Institute of Informatics, Tokyo, Japan

    Noriko Kando

  4. Patinformatics, LLC , Dublin, Ohio, USA

    Anthony J. Trippe

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Diallo, B., Lupu, M. (2017). Future Patent Search. In: Lupu, M., Mayer, K., Kando, N., Trippe, A. (eds) Current Challenges in Patent Information Retrieval. The Information Retrieval Series, vol 37. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-53817-3_17

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  • DOI: https://doi.org/10.1007/978-3-662-53817-3_17

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