Correction: ORKG-Leaderboards: a systematic workflow for mining leaderboards as a knowledge graph
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Correction: ORKG-Leaderboards: a systematic workflow for mining leaderboards as a knowledge graph ; day:28 ; month:5 ; year:2024 ; pages:1
International journal on digital libraries ; (28.5.2024), 1
- Creator
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s00799-024-00405-5
- URN
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urn:nbn:de:101:1-2408060947347.327811728792
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:48 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Kabongo Kabenamualu, Salomon
- D’Souza, Jennifer
- Auer, Sören
- SpringerLink (Online service)
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ORKG-Leaderboards: a systematic workflow for mining leaderboards as a knowledge graph
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Correction to: Mining a stroke knowledge graph from literature
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Context mining and graph queries on giant biomedical knowledge graphs
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Text mining to support abstract screening for knowledge syntheses: a semi-automated workflow
Knowledge graph embedding for data mining vs. knowledge graph embedding for link prediction – two sides of the same coin?
Information-theoretic graph mining