@inproceedings{tesconi2008semantify,
  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. 1},
  author = {Tesconi, Maurizio and Ronzano, Francesco and Marchetti, Andrea and Minutoli, Salvatore},
  booktitle = {Proceedings of the Workshop Social Data on the Web (SDoW2008)},
  crossref = {CEUR-WS.org/Vol-405},
  file = {tesconi2008semantify.pdf:tesconi2008semantify.pdf:PDF},
  groups = {public},
  interhash = {0c1c96b41a0af8512c20a7d41504640f},
  intrahash = {dd698b5ee4d93496d11627cbe1615514},
  timestamp = {2009-09-27 15:57:13},
  title = {Semantify del.icio.us: Automatically Turn your Tags into Senses},
  url = {http://CEUR-WS.org/Vol-405/paper8.pdf},
  username = {dbenz},
  year = 2008
}

@inproceedings{tesconi2008semantify,
  author = {Tesconi, Maurizio and Ronzano, Francesco and Marchetti, Andrea and Minutoli, Salvatore},
  crossref = {CEUR-WS.org/Vol-405},
  file = {tesconi2008semantify.pdf:tesconi2008semantify.pdf:PDF},
  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
}

@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
}

@inproceedings{marchetti2007semkey,
  abstract = {By analysing the current structure and the usage patterns
of collaborative tagging systems, we can find out many important aspects which still need to be improved. Problems
related to synonymy, polysemy, different lexical forms, mispelling errors or alternate spellings, different levels of precision and different kinds of tag-to-resource association cause inconsistencies and reduce the efficiency of content search and the effectiveness of the tag space structuring and organization. They are mainly caused by the lack of semantic
information inclusion in the tagging process. We propose
a new way to describe resources: the semantic tagging. It
allows user to state semantic assertions: each of them expresses a defined characteristic of a resource associating it with a concept. We present SemKey, a semantic collaborative
tagging system, describing its global architecture and
functioning along with the most relevant organizational issues
faced. We explore the adequacy of the support offered
by the entries of Wikipedia and WordNet in order to access
to and reference concepts.},
  address = {Banff, Canada},
  author = {Marchetti, Andrea and Tesconi, Maurizio and Ronzano, Francesco and Rosella, Marco and Minutoli, Salvatore},
  booktitle = {Proc. WWW 2007 Workshop on Tagging and Metadata for Social Information 	Organization},
  interhash = {2d14c0e69c87a3b1ca8898f047969b04},
  intrahash = {db794dcfb41cae7a5147a8234f7ea2eb},
  month = May,
  title = {SemKey: A Semantic Collaborative Tagging System },
  url = {http://www2007.org/workshops/paper_45.pdf},
  year = 2007
}