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Of mice and terms: clustering algorithms on ambiguous terms in folksonomies

9 years 5 months ago
Of mice and terms: clustering algorithms on ambiguous terms in folksonomies
Developed using the principles of the Model-View-Controller architectural pattern, FolksEngine is a parametric search engine for folksonomies that allows us to test arbitrary search improvement algorithms by specifying them in three phases: expansion, where the original query is converted in multiple ones according to semantic rules associated to the query terms, search, executing the queries on a standard folksonomy search engine such as Delicious, and ranking, sorting the results according to rules. In this paper we extend our previous studies using FolksEngine and offer a new query expansion algorithms based on Natural Language Processing techniques, and a new view for the results based on Semantic Web technologies. We also describe some tests of the algorithms developed, in order to obtain a clear and effective evaluation of them. Categories and Subject Descriptors I.2.7 [Artificial Intelligence]: Natural Language Processing – Text analysis. H.3.1 [Information Storage And Retrie...
Nicola Raffaele Di Matteo, Silvio Peroni, Fabio Ta
Added 03 Jul 2010
Updated 03 Jul 2010
Type Conference
Year 2010
Where SAC
Authors Nicola Raffaele Di Matteo, Silvio Peroni, Fabio Tamburini, Fabio Vitali
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