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Content-Based Image Retrieval (CBIR) systems are reaching nowadays a limitation related to the well-known semantic gap. Taking into account the domain knowledge for bridging this gap, is a very challenging task, due to the particular importance of every detail surrounding the given topic, user and query. The notion of context becomes then a key problem. However, one often considers the word context like words "concept" or "system", i.e. without giving a clear definition. This problem has beendoi:10.11409/mit.25.327 fatcat:mccneo4n3vfpfbjcm7fkyvm65y