Let Tagging be More Interesting

In these recent years, the social semantic web has recognized a real attention by the majority of researchers in the world. We propose in this paper an original approach concerning a powerful technology which has recognized a great success in the social web area, we talk about folksonomies. The aim of our contribution is to provide another view about the semantics missed in the social web technologies and show how we can use the methods of Data mining to extract the meaning of tags in folksonomies. Especially we will present how we can analyze user profiles according to their tags in order to personalize the recommendation of pertinent resources and surmount the lack of semantic links between tags for improving the quality of results returned by the current folksonomies.