CONICET | Buscador de Institutos y Recursos Humanos

Social annotations voluntarily provided by users in tagging or bookmarking sites such as Delicious or Flickr have been recognized as an interesting source of metadata for assisting tasks such as classification of Web resources. However, the open-ended nature of the tags employed to annotate resources leads to problems such as the introduction of noise and ambiguity that may hinder classification results. This paper presents an approach for semantically analyse social annotations in order to attain enriched, concept-based representations of Web resources. Experimental results showed that the strategies proposed to relate tags to conceptual entities allow to improve the results of resource classification.