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The main limitations of the existing high level image retrieval approaches concern the high dependance on an external reliable resource (domain ontologies, learning sets, etc. ) and a model for mapping semantic and visual information. In this paper, we propose an image retrieval system integrating semantic and visual features. The idea is to automatically build a modular ontology for semantic information and organize visual features in a graph-based model. Both elements are then combineddoi:10.1016/j.procs.2016.08.188 fatcat:aicfbk4yubgjhbcat46sbdxykm