Reducing ambiguity in tagging systems with folksonomy search expansion. The Semantic Web: Research and Applications

Abstract. Search facilities are vital for folksonomy (or social tagging mecha-nism) based systems. Although these systems allow great malleability and adapt-ability, they also surfer from problems, such as ambiguity in the meaning of tags, flat organisation of tags and some degree of unstabilising factor on consensus about which tags best describe some certain Web resources. It has been argued that folksonomy structure can be enhanced by ontologies; however, as suggested by Hotho et al., a key question remains open: how to exploit the benefits of on-tologies without bothering untrained users with its rigidity. In this paper, we pro-pose an approach to address the problem of ambiguity in tagging systems by expanding folksonomy search with ontologies, which are completely transparent to users. Preliminary implementations and evaluations on the efficiency and the usefulness of such expansions are very promising.