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Knowledge Graphs for Innovation Ecosystems

Author

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  • Alberto Tejero
  • Victor Rodriguez-Doncel
  • Ivan Pau

Abstract

Innovation ecosystems can be naturally described as a collection of networked entities, such as experts, institutions, projects, technologies and products. Representing in a machine-readable form these entities and their relations is not entirely attainable, due to the existence of abstract concepts such as knowledge and due to the confidential, non-public nature of this information, but even its partial depiction is of strong interest. The representation of innovation ecosystems incarnated as knowledge graphs would enable the generation of reports with new insights, the execution of advanced data analysis tasks. An ontology to capture the essential entities and relations is presented, as well as the description of data sources, which can be used to populate innovation knowledge graphs. Finally, the application case of the Universidad Politecnica de Madrid is presented, as well as an insight of future applications.

Suggested Citation

  • Alberto Tejero & Victor Rodriguez-Doncel & Ivan Pau, 2020. "Knowledge Graphs for Innovation Ecosystems," Papers 2001.08615, arXiv.org.
  • Handle: RePEc:arx:papers:2001.08615
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    References listed on IDEAS

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    5. Piera Centobelli & Roberto Cerchione & Emilio Esposito, 2017. "Knowledge Management in Startups: Systematic Literature Review and Future Research Agenda," Sustainability, MDPI, vol. 9(3), pages 1-19, March.
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