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.
@article{arxiv.2206.01439,
title = {Open Research Knowledge Graph:A System Walkthrough},
author = {Mohamad Yaser Jaradeh and Allard Oelen and Manuel Prinz and Markus Stocker and Sören Auer},
journal= {arXiv preprint arXiv:2206.01439},
year = {2022}
}