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.
Of Mice and Terms: Clustering Algorithms on Ambiguous Terms in Folksonomies / Di Matteo N.; Peroni S.; Tamburini F.; Vitali F.. - STAMPA. - (2010), pp. 844-848. (Intervento presentato al convegno 25th ACM Symposium On Applied Computing (SAC 2010) tenutosi a Sierre, Switzerland nel 22-26 march 2010).
Of Mice and Terms: Clustering Algorithms on Ambiguous Terms in Folksonomies
PERONI, SILVIO;TAMBURINI, FABIO;VITALI, FABIO
2010
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
