A method for the classification of folksonomy resources

Authors:
F. Echarte;J. J. Astrain;A. Córdoba;J. Villadangos;A. Labat
Affiliations:
Universidad Pública de Navarra, Pamplona, Spain;Universidad Pública de Navarra, Pamplona, Spain;Universidad Pública de Navarra, Pamplona, Spain;Universidad Pública de Navarra, Pamplona, Spain;Universidad Pública de Navarra, Pamplona, Spain
Venue:
Proceedings of the 2011 ACM Symposium on Applied Computing
Year:
2011

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Abstract

The paper presents a method for the automatic classification of the resources of collaborative tagging systems, also called folksonomies. Folksonomies are an easy way of representing knowledge in Web 2.0 because of its simplicity. However, due to their characteristics, the information retrieval in these systems is more difficult than in classical knowledge representation systems. This method has a high degree of precision and recall, and may adjust these values with the use of different modes of classification and thresholds, improving the performances of other resource classification methods.