Summary of the paper

Title Inducing Ontologies from Folksonomies using Natural Language Understanding
Authors Marta Tatu and Dan Moldovan
Abstract Folksonomies are unsystematic, unsophisticated collections of keywordsassociated by social bookmarking users to web content and, despite theirinconsistency problems (typographical errors, spelling variations, use of spaceor punctuation as delimiters, same tag applied in different context, synonymyof concepts, etc.), their popularity is increasing among Web 2.0 applicationdevelopers. In this paper, in addition to eliminating folksonomicirregularities existing at the lexical, syntactic or semantic understandinglevels, we propose an algorithm that automatically builds a semanticrepresentation of the folksonomy by exploiting the tags, their socialbookmarking associations (co-occuring tags) and, more importantly, the contentof labeled documents. We derive the semantics of each tag, discover semanticlinks between the folksonomic tags and expose the underlying semantic structureof the folksonomy, thus, enabling a number of information discovery andontology-based reasoning applications.
Language Semantics
Topics Ontologies, Knowledge Discovery/Representation, Semantics
Full paper Inducing Ontologies from Folksonomies using Natural Language Understanding
Bibtex @InProceedings{TATU10.203,
  author = {Marta Tatu and Dan Moldovan},
  title = {Inducing Ontologies from Folksonomies using Natural Language Understanding},
  booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)},
  year = {2010},
  month = {may},
  date = {19-21},
  address = {Valletta, Malta},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-6-7},
  language = {english}
 }
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