%0 Conference Paper %1 benz2007position %A Benz, Dominik %A Hotho, Andreas %B Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007) %D 2007 %E Hinneburg, Alexander %I Martin-Luther-Universität Halle-Wittenberg %K 2007 diploma_thesis ibm-kde-tagging itegpub methods_concepthierarchy myown ol_web2.0 ontology_learning rel1 rel2 taggingsurvey tagorapub %P 109--112 %T Position Paper: Ontology Learning from Folksonomies %U http://www.kde.cs.uni-kassel.de/pub/pdf/benz2007position.pdf %X 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. %@ 978-3-86010-907-6

@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.}, added-at = {2015-10-07T11:26:56.000+0200}, author = {Benz, Dominik and Hotho, Andreas}, biburl = {https://www.bibsonomy.org/bibtex/272bff5ebe5dfb5023f62ba9b94e6ed01/kde-alumni}, 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}, keywords = {2007 diploma_thesis ibm-kde-tagging itegpub methods_concepthierarchy myown ol_web2.0 ontology_learning rel1 rel2 taggingsurvey tagorapub}, month = sep, note = {http://lwa07.informatik.uni-halle.de/kdml07/kdml07.htm}, pages = {109--112}, publisher = {Martin-Luther-Universität Halle-Wittenberg}, timestamp = {2016-11-29T17:42:21.000+0100}, title = {Position Paper: Ontology Learning from Folksonomies}, url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2007position.pdf}, username = {dbenz}, year = 2007 }