An algorithm for the semantic classification of resources in collaborative tagging systems – SAC2011

Abstract

With the current development of Web 2.0 and the emergence of collaborative information services, collaborative tagging systems or folksonomies are becoming, if they are not already, in a technological structure capable to support the knowledge management in the enterprise and in the society in general, particularly in the social networks. This paper presents an algorithm for the automatic classification of the resources of a folksonomy. Resources are semantically classified using a classifier with different operation modes and based on thresholds. The proposed algorithm obtains better results regarding precision and recall, when compared with other classification algorithms. In addition, the algorithm is able to classify the resources considering only a relatively small subset of the folksonomy’s tags. Thus, the algorithm’s computational cost is significantly lower than other proposals, without negatively affecting their performance.

Reference

Echarte, F., Astrain, J. J., Córdoba, A., Villadangos, J. and Labat, A. 2011. An algorithm for the semantic classification of resources in collaborative tagging systems – SAC2011. In Proceedings of the 2011 ACM Symposium on Applied Computing (TaiChung, Taiwan). SAC ’11. ACM, New York, NY, 1675-1680.