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Semantic clustering of users based on shared conceptualizations in folksonomies

  • Campus Universitaire
  • CNRS UMR 5157 SAMOVAR

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Folksonomy systems and social bookmarking tools are rapidly spreading on the Web. Their steady increase reveals a trend towards a more dynamic and interactive space, in which users can individually assign terms to online resources. Even though users find tagging easy to use and understand, they need to see, closely, users sharing same interest as them for many reasons (facilitating the information retrieval and confidentiality management, insuring privacy respect, etc.). In this paper, we introduce a new method for automatically creating a new social network, across a popular folksonomy site, where users are clustered according to their domain of interest. We semantically represent these interests by using DBPEDIA ontology as a multi-domain ontology and we propose a methodology for enriching this ontology.

Original languageEnglish
Title of host publicationProceedings of the 2011 International Conference on Computational Aspects of Social Networks, CASoN'11
Pages201-206
Number of pages6
DOIs
Publication statusPublished - 26 Dec 2011
Event2011 International Conference on Computational Aspects of Social Networks, CASoN'11 - Salamanca, Spain
Duration: 19 Oct 201121 Oct 2011

Publication series

NameProceedings of the 2011 International Conference on Computational Aspects of Social Networks, CASoN'11

Conference

Conference2011 International Conference on Computational Aspects of Social Networks, CASoN'11
Country/TerritorySpain
CitySalamanca
Period19/10/1121/10/11

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