  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.
