Fuzzy automata with ε-moves compute fuzzy measures between strings
Fuzzy Sets and Systems
Deformed fuzzy automata for correcting imperfect strings of fuzzy symbols
IEEE Transactions on Fuzzy Systems
A Tag Clustering Method to Deal with Syntactic Variations on Collaborative Social Networks
ICWE '9 Proceedings of the 9th International Conference on Web Engineering
A self-adapted method for the categorization of social resources
Expert Systems with Applications: An International Journal
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Folksonomies offer an easy method to organize information in the current Web. This fact and their collaborative features have derived in an extensive involvement in many Social Web projects. However they present important drawbacks regarding their limited exploring and searching capabilities, in contrast with other methods as taxonomies, thesauruses and ontologies. One of these drawbacks is an effect of its flexibility for tagging, producing frequently multiple variations of a same tag. In this paper we propose a method to group syntactic variations of tags using pattern matching techniques. We propose the utilization of a fuzzy similarity measure and we conclude that this technique offers better results than other classic techniques after comparing them on a large real dataset.