Open Research Knowledge Graph: Towards Machine Actionability in Scholarly Communication.
Mohamad Yaser Jaradeh, Sören Auer, Manuel Prinz, Viktor Kovtun, Gábor Kismihók, Markus Stocker · arXiv (Cornell University) · 2019
Despite improved digital access to scientific publications in the last decades, the fundamental principles of scholarly communication remain unchanged and continue to be largely document-based. The document-oriented workflows in science publication have reached the limits of adequacy as highlighted by recent discussions on the increasing proliferation of scientific literature, the deficiency of peer-review and the reproducibility crisis. In this article, we present first steps towards representing scholarly knowledge semantically with knowledge graphs. We expand the currently popular RDF graph-based knowledge representation formalism to capture annotations, such as provenance information and describe how to manage such knowledge in a graph data base. We report on the results of a first experimental evaluation of the concept and its implementations with the participants of an international conference.