Open Research Knowledge Graph: A System Walkthrough

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

doi:10.48550/arXiv.2206.01439

Open Research Knowledge Graph: A System Walkthrough

Mohamad Yaser Jaradeh^*
, Allard Oelen
, Manuel Prinz
, Markus Stocker
, Sören Auer

^*Corresponding author for this work

L3S Research Centre

German National Library of Science and Technology (TIB)

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

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.

Original language	English
Title of host publication	Digital Libraries for Open Knowledge
Subtitle of host publication	23rd International Conference on Theory and Practice of Digital Libraries, TPDL 2019, Proceedings
Editors	Antoine Doucet, Antoine Isaac, Koraljka Golub, Trond Aalberg, Adam Jatowt
Place of Publication	Cham
Publisher	Springer Verlag
Pages	348-351
Number of pages	4
Edition	1.
ISBN (Electronic)	9783030307608
ISBN (Print)	9783030307592
DOIs	https://doi.org/10.48550/arXiv.2206.01439 https://doi.org/10.1007/978-3-030-30760-8_31
Publication status	Published - 30 Aug 2019
Event	23rd International Conference on Theory and Practice of Digital Libraries, TPDL 2019 - Oslo, Norway Duration: 9 Sept 2019 → 12 Sept 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11799 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	23rd International Conference on Theory and Practice of Digital Libraries, TPDL 2019
Country/Territory	Norway
City	Oslo
Period	9 Sept 2019 → 12 Sept 2019

Keywords

Digital libraries
Information science
Knowledge graph
Research infrastructure
Scholarly communication

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

ScienceGRAPH: Knowledge Graph based Representation, Augmentation and Exploration of Scholarly Communication
Auer, S. (Principal Investigator)
1 May 2019 → 30 Apr 2024
Project: Research

Cite this

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, 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)).

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title = "Open Research Knowledge Graph: A System Walkthrough",

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",

author = "Jaradeh, \{Mohamad Yaser\} and Allard Oelen and Manuel Prinz and Markus Stocker and S{\"o}ren Auer",

note = "Funding information: This work has received funding from the European Research Council (ERC) under the European Union{\textquoteright}s Horizon 2020 Research and Innovation Programme (Grant agreement No. 819536).; 23rd International Conference on Theory and Practice of Digital Libraries, TPDL 2019 ; Conference date: 09-09-2019 Through 12-09-2019",

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doi = "10.48550/arXiv.2206.01439",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

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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

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 proceeding › Conference contribution › Research › peer review

TY - GEN

T1 - Open Research Knowledge Graph

T2 - 23rd International Conference on Theory and Practice of Digital Libraries, TPDL 2019

AU - Jaradeh, Mohamad Yaser

AU - Oelen, Allard

AU - Prinz, Manuel

AU - Stocker, Markus

AU - Auer, Sören

N1 - Funding information: 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).

PY - 2019/8/30

Y1 - 2019/8/30

N2 - 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.

AB - 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.

KW - Digital libraries

KW - Information science

KW - Knowledge graph

KW - Research infrastructure

KW - Scholarly communication

U2 - 10.48550/arXiv.2206.01439

DO - 10.48550/arXiv.2206.01439

M3 - Conference contribution

AN - SCOPUS:85072857631

SN - 9783030307592

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 348

EP - 351

BT - Digital Libraries for Open Knowledge

A2 - Doucet, Antoine

A2 - Isaac, Antoine

A2 - Golub, Koraljka

A2 - Aalberg, Trond

A2 - Jatowt, Adam

PB - Springer Verlag

CY - Cham

Y2 - 9 September 2019 through 12 September 2019

ER -

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

Open Research Knowledge Graph: A System Walkthrough

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Projects

ScienceGRAPH: Knowledge Graph based Representation, Augmentation and Exploration of Scholarly Communication

Cite this