Tag Systems "are supremely responsive to user needs and vocabularies (...). (T)ransforming the creation of explicit metadata for resources from an isolated, professional activity into a shared, communicative activity by users is an important development"
"TagOntology is about identifying and formalizing a conceptualization of the activity of tagging, and building technology that commits to the ontology at the semantic level."
In this paper we propose the type of Bayesian networks that we call the hierarchical Bayesian network (HBN) classifiers. We present algorithms for the construction of the HBN classifiers and test them on the Reuters text categorization test collection
M. Ciaramita, T. Hofmann, and M. Johnson. IJCAI-03, Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, Acapulco, Mexico, August 9-15, 2003, page 817-822. Morgan Kaufmann, (2003)
S. Bloehdorn, and A. Hotho. Proceedings of the MSW 2004 workshop at the 10th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, page 70-87. (August 2004)
P. Eklund, and P. Deer. Proceedings of the 9th Int. Conf. on Information Processing and Management of Uncertainty (IPMU 2002), page 187-194. ESIA - Universite Savoie, (2002)presentation slides.
C. Basu, H. Hirsh, and W. Cohen. AAAI '98/IAAI '98: Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence, page 714--720. Menlo Park, CA, USA, American Association for Artificial Intelligence, (1998)