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COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Geometry and Meaning
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COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
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ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
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Computational Linguistics
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ICSC '07 Proceedings of the International Conference on Semantic Computing
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HLT-NAACL--Demonstrations '04 Demonstration Papers at HLT-NAACL 2004
A Parametric Architecture for Tags Clustering in Folksonomic Search Engines
ISDA '09 Proceedings of the 2009 Ninth International Conference on Intelligent Systems Design and Applications
APPECT: an approximate backbone-based clustering algorithm for tags
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part I
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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.