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Managing Information Quality in e-Science Using Semantic Web Technology

Preece, Alun David, Jin, Binling, Pignotti, Edoardo, Missier, Paolo, Embury, Suzanne, Stead, David and Brown, Al 2006. Managing Information Quality in e-Science Using Semantic Web Technology. Lecture Notes in Computer Science 4011 , pp. 472-486. 10.1007/11762256_35

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Abstract

We outline a framework for managing information quality (IQ) in e-Science, using ontologies, semantic annotation of resources, and data bindings. Scientists define the quality characteristics that are of importance in their particular domain by extending an OWL DL IQ ontology, which classifies and organises these domain-specific quality characteristics within an overall quality management framework. RDF is used to annotate data resources, with reference to IQ indicators defined in the ontology. Data bindings — again defined in RDF — are used to represent mappings between data elements (e.g. defined in XML Schemas) and the IQ ontology. As a practical illustration of our approach, we present a case study from the domain of proteomics

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Additional Information: ISBN 9783540345442. The Semantic Web: Research and Applications. 3rd European Semantic Web Conference, ESWC 2006 Budva, Montenegro,11-14 June 2006 Proceedings
Publisher: Springer
ISSN: 0302-9743
Related URLs:
Last Modified: 15 Nov 2013 10:54
URI: http://orca.cf.ac.uk/id/eprint/46177

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