Open Research Knowledge Graph:A System Walkthrough

TL;DR

The paper presents the Open Research Knowledge Graph (ORKG), an infrastructure designed to represent, curate, and explore scholarly knowledge in a machine-readable format, enhancing digital scholarly communication.

Contribution

It introduces a system for transforming traditional scholarly articles into a machine-actionable knowledge graph, addressing limitations of current document-based representations.

Findings

ORKG enables structured representation of research contributions.

The system facilitates easier exploration and curation of scholarly knowledge.

Demonstration video and system are publicly available.

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.