Paper Info
Title
Improving folksonomies quality by syntactic tag variations grouping
Abstract
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.
Year
DOI
Venue
2009
10.1145/1529282.1529559
SAC
Keywords
Field
DocType
important drawback,collaborative feature,syntactic tag variation,better result,easy method,improving folksonomies quality,group syntactic variation,fuzzy similarity measure,extensive involvement,social web project,current web,classic technique,pattern matching,fuzzy logic,semantic web,social web
Ontology (information science),Social web,Information retrieval,Computer science,Fuzzy logic,Semantic Web,MULTIPLE VARIATIONS,Social Semantic Web,Pattern matching,Syntax
Conference
Citations 
PageRank 
References 
4
0.43
5
Authors
4
Name
Order
Citations
PageRank
F. Echarte1646.98
José Javier Astrain28418.39
Alberto Córdoba36510.60
Jesús Villadangos4143.65