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Patent Intelligence Analysis to Support Technology Roadmap on the Sector of Renewable Energy

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Creative Solutions for a Sustainable Development (TFC 2021)

Abstract

Managing the unpredictability of the market, the complexity of innovative systems and its technological development is crucial for the management branch of a company; to do this, it is necessary to coordinate all the efforts of commercial, production and innovation groups towards a common goal. However, aligning all the different departments is challenging, then the collaborative creation of a roadmap can help to overcome this obstacle. Thanks to its flexibility, the method adapts to any scenario, managing the complexity of strategic planning. However, the effectiveness of developing a roadmap depends largely on the information the development team has. In this paper a road mapping method is presented, in particular to demonstrate how high level patent intelligence can complement and support roadmap workshops. The focus of this paper will be on an in-depth IP analysis of the wind power generation sector. The innovation is contained in the methodology of extraction of information from the patent pool, which uses semantic analysis tools to speed up the process by automating it, being able to increase the level of depth of the information extracted.

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Acknowledgment

We would like to thank all experts at TRIX Srl for supporting the processing phases and for providing the authors with the tools to carry out the analysis at various levels of detail and Ing. Marco Cicuto for his contribution in analyzing data during his master's degree dissertation.

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Correspondence to Matteo Spreafico .

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Bersano, G., Spreafico, M. (2021). Patent Intelligence Analysis to Support Technology Roadmap on the Sector of Renewable Energy. In: Borgianni, Y., Brad, S., Cavallucci, D., Livotov, P. (eds) Creative Solutions for a Sustainable Development. TFC 2021. IFIP Advances in Information and Communication Technology, vol 635. Springer, Cham. https://doi.org/10.1007/978-3-030-86614-3_15

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  • DOI: https://doi.org/10.1007/978-3-030-86614-3_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86613-6

  • Online ISBN: 978-3-030-86614-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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