A master thesis from Aalborg University
Measures of semantic similarity in folksonomies
Author(s)
Term
4. term
Education
Publication year
2010
Submitted on
2012-02-14
Abstract
Folksonomies are new, user driven classification structures and an important part of Web 2.0. Folksonomies are the only one approach that can keep up with todays web expansion rate, by utilizing users as classificators of web\'s content. Folksonomies, when containing sufficient amount of data, can be exploited in several ways. This particular work concentrates on measures of semantic similarity in folksonomies. The aim of this work is to evaluate several semantic similarity measures on a sample of three datasets - delicious.com, Last.fm and medworm.com. Evaluation was done using grounding data from WordNet, Open Directory Project and medical oriented ontology. Results presented by this work indicate, that measures of semantic similarity can be used to successfully measure the similarities in folksonomies in several domains, among other, in domain of music and the one of web pages.
Documents
Colophon: This page is part of the AAU Student Projects portal, which is run by Aalborg University. Here, you can find and download publicly available bachelor's theses and master's projects from across the university dating from 2008 onwards. Student projects from before 2008 are available in printed form at Aalborg University Library.
If you have any questions about AAU Student Projects or the research registration, dissemination and analysis at Aalborg University, please feel free to contact the VBN team. You can also find more information in the AAU Student Projects FAQs.