BibSonomy :: publication ::

tag user group author concept BibTeX key search:all search:dbenz

The blue social bookmark and publication sharing system.

(0)

This publication has not been reviewed yet.

rating distribution

average user rating

The average rating is computed over all reviews. However, some of them may be invisible to you due to the visibility setting chosen by the reviewers.

(0.0 of 5.0 based on 0 reviews)

Position Paper: Ontology Learning from Folksonomies

by: Dominik Benz, and Andreas Hotho

In: Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität LWA 2007Martin-Luther-Universität Halle-Wittenberg (September 2007) , p. 109--112.

Resources (URL, PDF, PS...)

URL:	http://www.kde.cs.uni-kassel.de/pub/pdf/benz2007position.pdf

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.

BibTeX record

@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 = {2011-02-17T17:41:38.000+0100},
  author = {Benz, Dominik and Hotho, Andreas},
  biburl = {http://www.bibsonomy.org/bibtex/272bff5ebe5dfb5023f62ba9b94e6ed01/dbenz},
  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 = {2011-02-17T17:41:38.000+0100},
  title = {Position Paper: Ontology Learning from Folksonomies},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2007position.pdf},
  username = {dbenz},
  year = 2007
}

Endnote record

%0 Conference Paper
%1 benz2007position
%A Benz, Dominik
%A Hotho, Andreas
%B Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007)
%@ 978-3-86010-907-6
%D 2007
%E Hinneburg, Alexander
%I Martin-Luther-Universität Halle-Wittenberg
%K 
%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.

BibSonomy :: publication ::

Position Paper: Ontology Learning from Folksonomies

Resources (URL, PDF, PS...)

Abstract

BibTeX record

Endnote record