Improving Tag Clouds with Ontologies and Semantics

Tag clouds are visual representations of a set of terms which represent several document dimensions. Social and collaborative systems have greatly increased the popularity of this type of visualization but several problems arise from their knowledge base structures. In this paper we propose a novel strategy to improve tag clouds with ontological and semantic information. Our methodology is based on a general knowledge base to extract additional terms and relations. These information are combined with statistics to enhance tag clouds visualization and improve their possible application in user-based systems.