Title: Automatic metadata generation by utilising pre-existing metadata of related resources

Authors: Merkourios Margaritopoulos, Thomas Margaritopoulos, Isabella Kotini, Athanasios Manitsaris

Addresses: Department of Applied Informatics, University of Macedonia, 156 Egnatia Street, 54006, Thessaloniki, Greece. ' Department of Applied Informatics, University of Macedonia, 156 Egnatia Street, 54006, Thessaloniki, Greece. ' Department of Applied Informatics, University of Macedonia, 156 Egnatia Street, 54006, Thessaloniki, Greece. ' Department of Applied Informatics, University of Macedonia, 156 Egnatia Street, 54006, Thessaloniki, Greece

Abstract: Manual indexing of digital resources according to metadata standards is a laborious task. Methods and methodologies for automatically producing several parts of a resource|s metadata provide valuable assistance to indexers and cataloguers by reducing the burden of their manual work. A methodology, which aims at identifying inference rules for the automatic generation of a resource|s metadata, based on pre-existing metadata of its related resources, is introduced in this paper. Furthermore, the application of the methodology to the IEEE LOM standard and an experimental example on a working database of metadata, with a tool developed for this purpose, are demonstrated.

Keywords: automatic metadata generation; inference rules; learning objects; metadata; related resources; IEEE LOM standard; indexing; cataloguing.

DOI: 10.1504/IJMSO.2008.023576

International Journal of Metadata, Semantics and Ontologies, 2008 Vol.3 No.4, pp.292 - 304

Published online: 01 Mar 2009 *

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