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Enhancing patent landscape analysis with visualization output

Author

Listed:
  • Yang, Yun Yun
  • Akers, Lucy
  • Yang, Cynthia Barcelon
  • Klose, Thomas
  • Pavlek, Shelley

Abstract

A patent landscape analysis can be defined as a state-of-the-art patent search that provides graphic representations of information from search results. The focus is patents and patent applications from a given technology area or company patent portfolio. Unlike a traditional state-of-the-art search which provides relevant information in text format, patent landscape analysis provides graphics and charts to demonstrate patenting trends, leading patent assignees, collaboration partners, white space analysis, technology evaluations, etc. In this article, we will illustrate two case studies from a more in-depth evaluation of some text mining tools. Output from these tools may be integrated into patent analysis workflow to yield critical visual views of the data and actionable business intelligence.

Suggested Citation

  • Yang, Yun Yun & Akers, Lucy & Yang, Cynthia Barcelon & Klose, Thomas & Pavlek, Shelley, 2010. "Enhancing patent landscape analysis with visualization output," World Patent Information, Elsevier, vol. 32(3), pages 203-220, September.
    • Handle: RePEc:eee:worpat:v:32:y:2010:i:3:p:203-220
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    Cited by:

    1. Choi, Seokkyu & Lee, Hyeonju & Park, Eunjeong & Choi, Sungchul, 2022. "Deep learning for patent landscaping using transformer and graph embedding," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    2. Yunwei Chen & Shu Fang, 2014. "Mapping the evolving patterns of patent assignees’ collaboration networks and identifying the collaboration potential," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1215-1231, November.
    3. Lizin, Sebastien & Leroy, Julie & Delvenne, Catherine & Dijk, Marc & De Schepper, Ellen & Van Passel, Steven, 2013. "A patent landscape analysis for organic photovoltaic solar cells: Identifying the technology's development phase," Renewable Energy, Elsevier, vol. 57(C), pages 5-11.

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