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Automatic Image Annotation (AIA) is a challenging problem in the field of image retrieval, and several methods have been proposed. However, visually supporting this important tasks and reducing the semantic gap between low-level image features and high-level semantic concepts still remains a key issue. In this paper, we propose a visually supporting image annotation framework based on visual features and ontologies. Our framework relies on three main components: (i) extraction anddoi:10.1109/iv.2017.27 dblp:conf/iv/FilaliZM17 fatcat:4dw7pfrpmjajpfk5xpx6rb36fi