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]
Open Research Knowledge Graph: A System Walkthrough
- [accepted Version]
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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
Footnote:
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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.