Exploiting Semantic Indexing Images for Emergence Recommendation Semantics System

Damien E. Zomahoun (1) , Pélagie Y. Houngue (1) , Kokou Yétongnon (1)

1 Le2i - Laboratoire Electronique, Informatique et Image [UMR6306]

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.

Mots clés: image; semantics; ontology; indexing; recommendation

Domaines: Informatique [cs]; Multimédia [cs.MM]

Damien E. Zomahoun, Pélagie Y. Houngue, Kokou Yétongnon. Exploiting Semantic Indexing Images for Emergence Recommendation Semantics System. The Eighth International Conference on Systems and Networks Communications, Oct 2013, Venise, Italy. pp.Pages: 82-88, ⟨10.5121/ICSNC.2013.4606⟩. ⟨hal-00932798⟩