Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

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

Full text not available from this repository.


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: 04 Jun 2017 04:53

Citation Data

Cited 17 times in Google Scholar. View in Google Scholar

Cited 10 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item