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Open Research Knowledge Graph: A System Walkthrough

  • Mohamad Yaser JaradehEmail author
  • Allard Oelen
  • Manuel Prinz
  • Markus Stocker
  • Sören Auer
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11799)

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 [7] and the system (https://labs.tib.eu/orkg/) are available online.

Keywords

Digital libraries Information science Knowledge graph Research infrastructure Scholarly communication 

Notes

Acknowledgment

This work has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 Research and Innovation Programme (Grant agreement No. 819536).

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    Jaradeh, M.Y.: A demo of the open research knowledge graph. Technische Informationsbibliothek \(TIB\), Leibniz Universität Hannover \(LUH\), L3S Research Center (2019). https://doi.org/10.5446/42537. Accessed 21 Jun 2019
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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Mohamad Yaser Jaradeh
    • 1
    • 2
    Email author
  • Allard Oelen
    • 1
    • 2
  • Manuel Prinz
    • 2
  • Markus Stocker
    • 2
  • Sören Auer
    • 1
    • 2
  1. 1.L3S Research CenterLeibniz University of HannoverHanoverGermany
  2. 2.TIB Leibniz Information Centre for Science and TechnologyHanoverGermany

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