Semantic disambiguation and contextualisation of social tags
Entity
UAM. Departamento de Ingeniería InformáticaPublisher
Springer Berlin HeidelbergDate
2012Citation
10.1007/978-3-642-28509-7_18
Advances in User Modeling: UMAP 2011 Workshops, Girona, Spain, July 11-15, 2011, Revised Selected Papers. Lecture Notes in Computer Science, Volumen 7138. Springer, 2006. 181-197.
ISSN
0302-9743 (print); 1611-3349 (online)ISBN
978-3-642-28508-0 (print); 978-3-642-28509-7 (online)DOI
10.1007/978-3-642-28509-7_18Funded by
This work was supported by the Spanish Ministry of Science and Innovation (TIN2008-06566-C04-02), and Universidad Autónoma de Madrid (CCG10-UAM/TIC-5877)Editor's Version
http://dx.doi.org/10.1007/978-3-642-28509-7_18Subjects
Artificial Intelligence; Simulation and Modeling; Computers and Society; InformáticaNote
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-28509-7_18This manuscript is an extended version of the paper ‘cTag: Semantic Contextualisation of Social Tags’, presented at the 6th International Workshop on Semantic Adaptive Social Web (SASWeb 2011).
Rights
© Springer-Verlag Berlin Heidelberg 2012Abstract
We present an algorithmic framework to accurately and efficiently identify the semantic meanings and contexts of social tags within a particular folksonomy. The framework is used for building contextualised tag-based user and item profiles. We also present its implementation in a system called cTag, with which we preliminary analyse semantic meanings and contexts of tags belonging to Delicious and MovieLens folksonomies. The analysis includes a comparison between semantic similarities obtained for pairs of tags in Delicious folksonomy, and their semantic distances in the whole Web, according to co-occurrence based metrics computed with results of a Web search engine.
Files in this item
Google Scholar:Fernández-Tobías, Ignacio
-
Cantador Gutiérrez, Iván
-
Bellogin Kouki, Alejandro
This item appears in the following Collection(s)
Related items
Showing items related by title, author, creator and subject.