Paper Info
Title
Automatic metadata generation by utilising pre-existing metadata of related resources
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.
Year
DOI
Venue
2008
10.1504/IJMSO.2008.023576
IJMSO
Keywords
DocType
Volume
automatic metadata generation,experimental example,IEEE LOM standard,related resource,digital resource,manual work,laborious task,automatic generation,manual indexing,pre-existing metadata,inference rule
Journal
3
Issue
Citations 
PageRank 
4
3
0.42
References 
Authors
11
4
Name
Order
Citations
PageRank
Merkourios Margaritopoulos1293.10
Thomas Margaritopoulos2292.77
Isabella Kotini371.90
Athanasios Manitsaris48813.06