Managing Information Quality in e-Science Using Semantic Web Technology

Abstract. We outline a framework for managing information quality (IQ) in eScience, 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.

• Type: Conference
• Year: 2006
• Where: ESWS
• Authors: Alun D. Preece, Binling Jin, Edoardo Pignotti, Paolo Missier, Suzanne M. Embury, David Stead, Al Brown
• Keywords: Data Bindings, DL IQ Ontology, ESWS 2006, Internet Technology, IQ Ontology