Managing information quality in e-science using semantic web technology

Authors:
Alun Preece;Binling Jin;Edoardo Pignotti;Paolo Missier;Suzanne Embury;David Stead;Al Brown
Affiliations:
Computing Science, University of Aberdeen, Aberdeen, UK;Computing Science, University of Aberdeen, Aberdeen, UK;Computing Science, University of Aberdeen, Aberdeen, UK;School of Computer Science, University of Manchester, Manchester, UK;School of Computer Science, University of Manchester, Manchester, UK;Molecular and Cell Biology, University of Aberdeen, Aberdeen, UK;Molecular and Cell Biology, University of Aberdeen, Aberdeen, UK
Venue:
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Year:
2006

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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.