Open AccessExploiting Semantic Indexing Images for Emergence Recommendation Semantics System
Author(s) -
Damien E. Zomahoun,
Pélagie Houngue,
Kokou Yétong
Publication year - 2013
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5121/icsnc.2013.4606
Subject(s) - computer science , search engine indexing , semantics (computer science) , information retrieval , natural language processing , artificial intelligence , programming language
10International audienceThanks 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