Trabajo presentado al Workshop de la 15th International World Wide Conference (WWW) celebrado en Edinburgh (Scotland) del 22 al 23 de mayo de 2006.In this paper, we investigate the combination of collaborative tagging and emergent semantics for improved data navigation and search. We propose to use visual features in addition to tags provided by users in order to discover new relationships between data. We show that our method is able to overcome some of the problems involved in navigating databases using tags only, such as synonymy or different languages, spelling mistakes, homonymy, or missing tags. On the other hand, image search based on visual features can be simplified substantially by the use of tags. We present technical details of our prototype system and show some preliminary results.This research was carried out and funded by the Sony Computer Science Laboratory in Paris with additional funding from the EU FET project ECAgents (IST-2003-1940) through the Sony Computer Science Laboratory in Paris.N
