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In this paper, we describe our midterm PhD work that focuses on role of large scale semantic resources in image retrieval. Current Internet picture search engines are based on a raw processing of the text associated to the images and this leads to an important degree of imprecision in the results sets, to an unstructured presentation of the answers and to poor interactivity options. The introduction of semantic layers in the retrieval frameworks may enhance the quality of results obtained with existing systems. One of the main challenges in the field is to develop architectures that include semantics and fit the requirements of real-life applications, like the Internet search engines, and this challenge constitutes a central point in our approach. The expected outcome of our approach is building picture search applications that better fit users' expectances.