Identifying semantic correspondences between vocabularies is a fundamental step towards enabling interoperability among them. In this paper we report the results of a matching experiment we conducted between two large scale knowledge organization systems, i.e. NALT and LCSH. We show that, even if there is still large scope for improvements, automatic tools can significantly reduce the time necessary at finding and validating correspondences.

Mapping large-scale Knowledge Organization Systems / Giunchiglia, Fausto; Soergel, Dagobert; Bertacco, Alessandro; Maltese, Vincenzo. - ELETTRONICO. - (2009), pp. 1-12.

Mapping large-scale Knowledge Organization Systems

Giunchiglia, Fausto;Soergel, Dagobert;Bertacco, Alessandro;Maltese, Vincenzo
2009-01-01

Abstract

Identifying semantic correspondences between vocabularies is a fundamental step towards enabling interoperability among them. In this paper we report the results of a matching experiment we conducted between two large scale knowledge organization systems, i.e. NALT and LCSH. We show that, even if there is still large scope for improvements, automatic tools can significantly reduce the time necessary at finding and validating correspondences.
2009
Trento
University of Trento - Dipartimento di Ingegneria e Scienza dell'Informazione
Mapping large-scale Knowledge Organization Systems / Giunchiglia, Fausto; Soergel, Dagobert; Bertacco, Alessandro; Maltese, Vincenzo. - ELETTRONICO. - (2009), pp. 1-12.
Giunchiglia, Fausto; Soergel, Dagobert; Bertacco, Alessandro; Maltese, Vincenzo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/358690
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