Title
A Fine-Grained Metric System for the Completeness of Metadata.
Abstract
Metadata quality is an issue that can be approached from different aspects. Among the most properties characterizing a quality metadata record is its sufficiency to describe a resource, which is expressed as the completeness of the record. The paper presents a fine-grained metric system for measuring metadata completeness that is capable of following the hierarchy of metadata as it is set by the metadata schema and admeasuring the effect of multiple values of multi-valued fields. Moreover, it introduces the aspect of the representation level of semantically equivalent information that should be taken into account when measuring completeness. The proposed metric system, based on the definition of completeness of a field, treats several deficiencies of the traditional coarse metrics and offers the ability of targeted measures of compeleteness throughout the metadata hierarchy.
Year
DOI
Venue
2009
10.1007/978-3-642-04590-5_8
Communications in Computer and Information Science
Keywords
Field
DocType
Metadata completeness,metadata quality,metrics
Metadata quality,Metric system,Equivalence of metrics,Data mining,Metadata,Information retrieval,Computer science,Semantic equivalence,Hierarchy,Metadata schema,Completeness (statistics)
Conference
Volume
ISSN
Citations 
46
1865-0929
1
PageRank 
References 
Authors
0.36
12
4