Position Paper: Ontology Learning from Folksonomies
D. Benz, and A. Hotho. Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007), page 109--112. Martin-Luther-Universität Halle-Wittenberg, (September 2007)http://lwa07.informatik.uni-halle.de/kdml07/kdml07.htm.
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.
