  Despite improved digital access to scholarly literature in the last decades,
the fundamental principles of scholarly communication remain unchanged and
continue to be largely document-based. Scholarly knowledge remains locked in
representations that are inadequate for machine processing. The Open Research
Knowledge Graph (ORKG) is an infrastructure for representing, curating and
exploring scholarly knowledge in a machine actionable manner. We demonstrate
the core functionality of ORKG for representing research contributions
published in scholarly articles. A video of the demonstration and the system
are available online.
