Open Research Knowledge Graph:A System Walkthrough
arXiv:2206.01439 · doi:10.1007/978-3-030-30760-8_31
Abstract
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.
Pre-print for TPDL 2019 demo