@inproceedings{taggingsem08,
  abstract = {At present tagging is experimenting a great diffusion as the  most adopted way to collaboratively classify resources over the Web. In  this paper, after a detailed analysis of the attempts made to improve the  organization and structure of tagging systems as well as the usefulness of  this kind of social data, we propose and evaluate the Tag Disambiguation  Algorithm, mining del.icio.us data. It allows to easily semantify the tags  of the users of a tagging service: it automatically finds out for each tag  the related concept of Wikipedia in order to describe Web resources  through senses. On the basis of a set of evaluation tests, we analyze  all the advantages of our sense-based way of tagging, proposing new  methods to keep the set of users tags more consistent or to classify the  tagged resources on the basis of Wikipedia categories, YAGO classes  or Wordnet synsets. We discuss also how our semanitified social tagging  data are strongly linked to DBPedia and the datasets of the Linked Data  community.  },
  author = {Tesconi, Maurizio and Ronzano, Francesco and Marchetti, Andrea and Minutoli, Salvatore},
  crossref = {CEUR-WS.org/Vol-405},
  interhash = {0c1c96b41a0af8512c20a7d41504640f},
  intrahash = {348a962fe13e0b605ffc53d592464c24},
  title = {Semantify del.icio.us: Automatically Turn your Tags into Senses},
  url = {http://CEUR-WS.org/Vol-405/paper8.pdf},
  year = 2008
}