Open Research Knowledge Graph: A System Walkthrough

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • Mohamad Yaser Jaradeh
  • Allard Oelen
  • Manuel Prinz
  • Markus Stocker
  • Sören Auer

Research Organisations

External Research Organisations

  • German National Library of Science and Technology (TIB)
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Details

Original languageEnglish
Title of host publicationDigital Libraries for Open Knowledge
Subtitle of host publication23rd International Conference on Theory and Practice of Digital Libraries, TPDL 2019, Proceedings
EditorsAntoine Doucet, Antoine Isaac, Koraljka Golub, Trond Aalberg, Adam Jatowt
Place of PublicationCham
PublisherSpringer Verlag
Pages348-351
Number of pages4
Edition1.
ISBN (electronic)9783030307608
ISBN (print)9783030307592
Publication statusPublished - 30 Aug 2019
Event23rd International Conference on Theory and Practice of Digital Libraries, TPDL 2019 - Oslo, Norway
Duration: 9 Sept 201912 Sept 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11799 LNCS
ISSN (Print)0302-9743
ISSN (electronic)1611-3349

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

ASJC Scopus subject areas

Cite this

Open Research Knowledge Graph: A System Walkthrough. / Jaradeh, Mohamad Yaser; Oelen, Allard; Prinz, Manuel et al.
Digital Libraries for Open Knowledge: 23rd International Conference on Theory and Practice of Digital Libraries, TPDL 2019, Proceedings. ed. / Antoine Doucet; Antoine Isaac; Koraljka Golub; Trond Aalberg; Adam Jatowt. 1. ed. Cham: Springer Verlag, 2019. p. 348-351 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11799 LNCS).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Jaradeh, MY, Oelen, A, Prinz, M, Stocker, M & Auer, S 2019, Open Research Knowledge Graph: A System Walkthrough. in A Doucet, A Isaac, K Golub, T Aalberg & A Jatowt (eds), Digital Libraries for Open Knowledge: 23rd International Conference on Theory and Practice of Digital Libraries, TPDL 2019, Proceedings. 1. edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11799 LNCS, Springer Verlag, Cham, pp. 348-351, 23rd International Conference on Theory and Practice of Digital Libraries, TPDL 2019, Oslo, Norway, 9 Sept 2019. https://doi.org/10.48550/arXiv.2206.01439, https://doi.org/10.1007/978-3-030-30760-8_31
Jaradeh, M. Y., Oelen, A., Prinz, M., Stocker, M., & Auer, S. (2019). Open Research Knowledge Graph: A System Walkthrough. In A. Doucet, A. Isaac, K. Golub, T. Aalberg, & A. Jatowt (Eds.), Digital Libraries for Open Knowledge: 23rd International Conference on Theory and Practice of Digital Libraries, TPDL 2019, Proceedings (1. ed., pp. 348-351). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11799 LNCS). Springer Verlag. https://doi.org/10.48550/arXiv.2206.01439, https://doi.org/10.1007/978-3-030-30760-8_31
Jaradeh MY, Oelen A, Prinz M, Stocker M, Auer S. Open Research Knowledge Graph: A System Walkthrough. In Doucet A, Isaac A, Golub K, Aalberg T, Jatowt A, editors, Digital Libraries for Open Knowledge: 23rd International Conference on Theory and Practice of Digital Libraries, TPDL 2019, Proceedings. 1. ed. Cham: Springer Verlag. 2019. p. 348-351. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.48550/arXiv.2206.01439, 10.1007/978-3-030-30760-8_31
Jaradeh, Mohamad Yaser ; Oelen, Allard ; Prinz, Manuel et al. / Open Research Knowledge Graph : A System Walkthrough. Digital Libraries for Open Knowledge: 23rd International Conference on Theory and Practice of Digital Libraries, TPDL 2019, Proceedings. editor / Antoine Doucet ; Antoine Isaac ; Koraljka Golub ; Trond Aalberg ; Adam Jatowt. 1. ed. Cham : Springer Verlag, 2019. pp. 348-351 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Download
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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.",
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