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Originalpublikation
Jaradeh, M.Y.; 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. (Eds.): Digital Libraries for Open Knowledge. TPDL 2019. New York, NY : Springer, 2019 (Lecture notes in computer science ; 11799), S. 348-351. DOI: https://doi.org/10.1007/978-3-030-30760-8_31
Version im Repositorium
Zum Zitieren der Version im Repositorium verwenden Sie bitte diesen DOI:
https://doi.org/10.15488/16802
| Zusammenfassung: | |
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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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| Lizenzbestimmungen: | This document may be downloaded, read, stored and printed for your own use within the limits of § 53 UrhG but it may not be distributed on other websites via the internet or passed on to external parties. |
| Publikationstyp: | BookPart |
| Publikationsstatus: | acceptedVersion |
| Erstveröffentlichung: | 2019 |
| Schlagwörter (englisch): | Digital libraries, Information science, Knowledge graph, Research infrastructure, Scholarly communication |
| Fachliche Zuordnung (DDC): | 620 | Ingenieurwissenschaften und Maschinenbau |
| Kontrollierte Schlagwörter: | Konferenzschrift |
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