Clustering Method for Social Network Annotations – IEEE Latina

Abstract

Folksonomies are a widely used tool of collaboratively creating and managing tags to annotate and categorize Internet resources (Web 2.0). The process of annotation and tag management by users of social networks is extremely easy and simple; however, it involves serious problems of navigation and search unlike what happens with taxonomies, thesauri and ontologies. The use of fuzzy similarity measures allows the correct identification of syntactic variations when tag lengths are greater or equal than five symbols, been inadequate for smaller length tags. This article presents a method that combines both fuzzy similarity and cosine measures in order to provide a proper classification of tags even with smaller tag lengths. This method allows the proper classification of the 95% of the syntactic variations of tags analyzed in the experiments.

Authors

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

Reference

Astrain, J.J., Echarte, F., Córdoba, A., Villadangos, J. (2010). Clustering Method for Social Network Annotations. IEEE Latin America Transactions, 8(1): 88—93.