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Intellectual assets management: from patents to knowledge

Author

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  • Camus, Caterina
  • Brancaleon, Riccardo

Abstract

The article describes a prototype software package that allows the user to create, organize and automatically update patent collections in order to manage companies' intellectual assets. Its tools help to monitor technological trends and support competitive intelligence strategies. The package automatically collects patents from the IP provider network, contextualizes and extracts all their structured and unstructured data and, using information extraction, text-mining, and statistical and clustering analysis, extracts knowledge. It enables a decision maker to analyze this knowledge and to build up a successful strategy.

Suggested Citation

  • Camus, Caterina & Brancaleon, Riccardo, 2003. "Intellectual assets management: from patents to knowledge," World Patent Information, Elsevier, vol. 25(2), pages 155-159, June.
    • Handle: RePEc:eee:worpat:v:25:y:2003:i:2:p:155-159
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    Citations

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    Cited by:

    1. Curci, Ylenia & Mongeau Ospina, Christian A., 2016. "Investigating biofuels through network analysis," Energy Policy, Elsevier, vol. 97(C), pages 60-72.
    2. Mario Corona & Youngjung Geum & Sungjoo Lee, 2017. "Patterns of Protecting Both Technological and Nontechnological Innovation for Service Offerings: Case of the Video-Game Industry," Service Science, INFORMS, vol. 9(3), pages 192-204, September.
    3. Cinthia M. Souza & Magali R. G. Meireles & Paulo E. M. Almeida, 2021. "A comparative study of abstractive and extractive summarization techniques to label subgroups on patent dataset," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 135-156, January.

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