DLMedia: an ontology mediated multimedia information retrieval system (Contributo in atti di convegno)

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Label
  • DLMedia: an ontology mediated multimedia information retrieval system (Contributo in atti di convegno) (literal)
Anno
  • 2008-01-01T00:00:00+01:00 (literal)
Alternative label
  • Straccia U.; Visco G. (2008)
    DLMedia: an ontology mediated multimedia information retrieval system
    in International Workshop on Uncertainty Reasoning for the Semantic Web, Karlsruhe, Germany
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Straccia U.; Visco G. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://ceur-ws.org/Vol-423/paper4.pdf (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 423 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • In: URSW 2008 - International Workshop on Uncertainty Reasoning for the Semantic Web (Karlsruhe, Germany, october 2008). Proceedings, 2008. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 12 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto
  • ABSTRACT: We outline DL-Media, an ontology mediated multimedia information retrieval system, which combines logic-based retrieval with multimedia feature-based similarity retrieval. An ontology layer is used to define (in terms of a fuzzy DLR-Lite like description logic) the relevant abstract concepts and relations of the application domain, while a content-based multimedia retrieval system is used for feature-based retrieval. We will illustrate its logical model, its architecture, its representation and query language and the preliminary experiments we conducted. (literal)
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  • DBLP (literal)
  • Google Scholar (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-ISTI, Pisa (literal)
Titolo
  • DLMedia: an ontology mediated multimedia information retrieval system (literal)
Abstract
  • We outline DL-Media, an ontology mediated multimedia information retrieval system, which combines logic-based retrieval with multimedia feature-based similarity retrieval. An ontology layer is used to define (in terms of a fuzzy DLR-Lite like description logic) the relevant abstract concepts and relations of the application domain, while a content-based multimedia retrieval system is used for feature-based retrieval. We will illustrate its logical model, its architecture, its representation and query language and the preliminary experiments we conducted. (literal)
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