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Several branches of computer vision heavily rely (but we could even say depend) on the availability of large datasets of labelled images. While such labeling is usually done by hand, a powerful help can be obtained from Internet and its related tools. In this paper we address the problem of automatically generating a set of images representing an object class, given the name of the class. We exploit semantic technologies, such as lexical resources and ontologies, in order to improve the searchdoi:10.1145/2501105.2501110 dblp:conf/vigta/SettiPFAC13 fatcat:bbwykp5ghbbdznxrq4gggwlvpi