Exploiting Semantic Indexing Images for Emergence Recommendation Semantics System

Damien Zomahoun; Pélagie Houngue; Kokou Yétongnon

Exploiting Semantic Indexing Images for Emergence Recommendation Semantics System

Damien Zomahoun ¹ Pélagie Houngue ¹ Kokou Yétongnon ¹

1 Le2i - Laboratoire Electronique, Informatique et Image [UMR6303]

Abstract : Thanks to the efforts of the Semantic Web Community (W3C), images can be semantically indexed with metadata. The explicit representation of image contents is made possible by using ontologies that provide a common and shared understanding of a domain at both human users and application levels. The approach that we are proposing in this paper is a semantic indexing of images based on conceptual method. To make efficient the semantic indexing, we also propose a recommender system. User profiles: static and dynamic profiles are combined and supported by the system we have developed to suggest recommendations to users. The preferences of each user are taking into account to provide customized recommendations.

Keywords : image semantics ontology indexing recommendation

Type de document :

Communication dans un congrès

Domaine :

Informatique [cs] / Multimédia [cs.MM]

Liste complète des métadonnées

Littérature citée [33 références] Voir Masquer Télécharger

https://hal-univ-bourgogne.archives-ouvertes.fr/hal-00932798
Contributeur : E. Damien Zomahoun <>
Soumis le : mardi 21 janvier 2014 - 14:53:18
Dernière modification le : mercredi 12 septembre 2018 - 01:26:50
Document(s) archivé(s) le : jeudi 24 avril 2014 - 10:31:13

icsnc_2013_4_30_20115.pdf

Fichiers éditeurs autorisés sur une archive ouverte

Exploiting Semantic Indexing Images for Emergence Recommendation Semantics System

Fichier

Identifiants

Collections

Citation

Exporter

Métriques

241

179

Contact

Exploiting Semantic Indexing Images for Emergence Recommendation Semantics System

Fichier

Identifiants

Collections

Citation

Exporter

Partager

Métriques

241

179

Contact