@inproceedings{benz2007position,
  abstract = {The emergence of collaborative tagging systems with their underlying flat and uncontrolled resource organization paradigm has led to a large number of research activities focussing on a formal description and analysis of the resulting “folksonomies�?. An interesting outcome is that the characteristic qualities of these systems seem to be inverse to more traditional knowledge structuring approaches like taxonomies or ontologies: The latter provide rich and precise semantics, but suffer - amongst others - from a knowledge acquisition bottleneck. An important step towards exploiting the possible synergies by bridging the gap between both paradigms is the automatic extraction of relations between tags in a folksonomy. This position paper presents preliminary results of ongoing work to induce hierarchical relationships among tags by analyzing the aggregated data of collaborative tagging systems as a basis for an ontology learning procedure.},
  author = {Benz, Dominik and Hotho, Andreas},
  booktitle = {Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007)},
  editor = {Hinneburg, Alexander},
  file = {benz2007position.pdf:benz2007position.pdf:PDF},
  groups = {public},
  interhash = {ff7de5717f771dabd764675279ff3adf},
  intrahash = {72bff5ebe5dfb5023f62ba9b94e6ed01},
  isbn = {978-3-86010-907-6},
  month = sep,
  note = {http://lwa07.informatik.uni-halle.de/kdml07/kdml07.htm},
  pages = {109--112},
  publisher = {Martin-Luther-Universität Halle-Wittenberg},
  timestamp = {2009-09-17 10:23:45},
  title = {Position Paper: Ontology Learning from Folksonomies},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2007position.pdf},
  username = {dbenz},
  year = 2007
}