Folksonomy Resources as a Data Source for the Social Data in Semantic Web – SDoW 2009

Abstract

The increasing popularity of folksonomies has made them interesting as a tool to bridge the gap between Web 2.0 and the Semantic Web. This paper describes a generic method (ACoAR) for the automatical and semantical classification of the resources tagged in a folksonomy. ACoAR creates a set of classification concepts and classifies the folksonomy’ resources under them. The method updates this classification as the folksonomy evolves. The method is validated using a del.icio.us sample set to create the classification concepts. The classification of new folksonomy resources is also evaluated, obtaining a correct classification rate of 93% of the analyzed resources.

Authors

Francisco Echarte, José Javier Astrain, Alberto Córdoba and Jesús Villadangos

Resources

Reference

Echarte, F., Astrain, J.J., Córdoba, A., Villadangos, J: Folksonomy Resources as a Data Source for the Social Data in Semantic Web – SDoW 2009. In: Proceedings of the Second Social Data on the Web Workshop (SDoW2009), Washington DC (USA), October 25, 2009, CEUR Workshop Proceedings, ISSN 1613-0073, online CEUR-WS.org/Vol-520/paper01.pdf