Multimedia ontology population through semantic analysis and hierarchical deep features extraction techniques
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
0219-3116
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Multimedia ontology population through semantic analysis and hierarchical deep features extraction techniques ; volume:64 ; number:5 ; day:25 ; month:4 ; year:2022 ; pages:1283-1303 ; date:5.2022
Knowledge and information systems ; 64, Heft 5 (25.4.2022), 1283-1303, 5.2022
- Urheber
-
Muscetti, Michela
Rinaldi, Antonio M.
Russo, Cristiano
Tommasino, Cristian
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s10115-022-01669-6
- URN
-
urn:nbn:de:101:1-2022071819150541711890
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 07:38 MESZ
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Beteiligte
- Muscetti, Michela
- Rinaldi, Antonio M.
- Russo, Cristiano
- Tommasino, Cristian
- SpringerLink (Online service)
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