ORKG-Leaderboards: a systematic workflow for mining leaderboards as a knowledge graph
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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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
- Ereignis
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Veröffentlichung
- (wo)
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Hannover
- (wer)
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Gottfried Wilhelm Leibniz Universität Hannover
- (wann)
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2023
- Ereignis
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Veröffentlichung
- (wo)
-
Hannover
- (wer)
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Technische Informationsbibliothek (TIB)
- (wann)
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2023
- Urheber
- DOI
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10.15488/16153
- URN
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urn:nbn:de:101:1-2024021501193242695230
- Rechteinformation
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:37 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Kabongo Kabenamualu, Salomon
- D’Souza, Jennifer
- Auer, Sören
- Gottfried Wilhelm Leibniz Universität Hannover
- Technische Informationsbibliothek (TIB)
Entstanden
- 2023
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