The Wikipedia phenomenon very interesting from the point of view of the collective, social effort to produce a large, strongly interlinked body of knowledge. It also offers, for the first time in history, a general source of information coded in electronic form and freely available to anyone. As such, it can be used as a reference for tools aiming at mining semantic meaning from generic documents. In this paper, we propose a clustering-based method that exploits some of the implicit knowledge built into Wikipedia to refine and ameliorate existing approaches.

Exploiting the collective intelligence contained in Wikipedia to automatically describe the content of a document

Ronchetti, Marco
2008-01-01

Abstract

The Wikipedia phenomenon very interesting from the point of view of the collective, social effort to produce a large, strongly interlinked body of knowledge. It also offers, for the first time in history, a general source of information coded in electronic form and freely available to anyone. As such, it can be used as a reference for tools aiming at mining semantic meaning from generic documents. In this paper, we propose a clustering-based method that exploits some of the implicit knowledge built into Wikipedia to refine and ameliorate existing approaches.
2008
The Semantic Web: a view on data integration, reasoning, human factors, collective intelligence and technology adoption
Bangkok
AIT e-Press
Jamburathan, A.; Ronchetti, Marco
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/63128
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