• Media type: E-Article; Text
  • Title: Open Research Knowledge Graph: A System Walkthrough
  • Contributor: Jaradeh, Mohamad Yaser [Author]; Oelen, Allard [Author]; Prinz, Manuel [Author]; Stocker, Markus [Author]; Auer, Sören [Author]; Doucet, A. [Author]; Isaac, A. [Author]; Golub, K. [Author]; Aalberg, T. [Author]; Jatowt, A. [Author]
  • Published: New York, NY : Springer, 2019
  • Published in: Digital Libraries for Open Knowledge. TPDL 2019 ; Lecture notes in computer science ; 11799
  • Issue: accepted Version
  • Language: English
  • DOI: https://doi.org/10.15488/16802; https://doi.org/10.1007/978-3-030-30760-8_31
  • ISBN: 978-3-030-30760-8
  • ISSN: 0302-9743
  • Keywords: Scholarly communication ; Konferenzschrift ; Digital libraries ; Research infrastructure ; Information science ; Knowledge graph
  • Origination:
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  • Description: 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 [7] and the system (https://labs.tib.eu/orkg/ ) are available online.
  • Access State: Open Access