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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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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In: Kabongo, S.; D’Souza, J.; Auer, S.: ORKG-Leaderboards: a systematic workflow for mining leaderboards as a knowledge graph. In: International Journal on Digital Libraries (2023), online first. DOI: https://doi.org/10.1007/s00799-023-00366-1
- Event
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Veröffentlichung
- (where)
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Hannover
- (who)
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Gottfried Wilhelm Leibniz Universität Hannover
- (when)
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2023
- Event
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Veröffentlichung
- (where)
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Hannover
- (who)
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Technische Informationsbibliothek (TIB)
- (when)
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2023
- Creator
- DOI
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10.15488/16153
- URN
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urn:nbn:de:101:1-2024021501193242695230
- Rights
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:37 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
- Gottfried Wilhelm Leibniz Universität Hannover
- Technische Informationsbibliothek (TIB)
Time of origin
- 2023
Other Objects (12)
ORKG-Leaderboards: a systematic workflow for mining leaderboards as a knowledge graph
Correction: 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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ORKG-Leaderboards: a systematic workflow for mining leaderboards as a knowledge graph
Correction: ORKG-Leaderboards: a systematic workflow for mining leaderboards as a knowledge graph
Mining a stroke knowledge graph from literature
Context mining and graph queries on giant biomedical knowledge graphs
Context mining and graph queries on giant biomedical knowledge graphs
Exploiting Semantic Web knowledge graphs in data mining
Exploiting semantic web knowledge graphs in data mining
Correction to: Mining a stroke knowledge graph from literature
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
Mining highly dynamic graphs
ORKG-Leaderboards: a systematic workflow for mining leaderboards as a knowledge graph
Correction: ORKG-Leaderboards: a systematic workflow for mining leaderboards as a knowledge graph
Mining a stroke knowledge graph from literature
Context mining and graph queries on giant biomedical knowledge graphs
Context mining and graph queries on giant biomedical knowledge graphs
Exploiting Semantic Web knowledge graphs in data mining
Exploiting semantic web knowledge graphs in data mining
Correction to: Mining a stroke knowledge graph from literature
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