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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.
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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.

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