An ontology-based approach to handling information quality in e-Science

context. In contrast to previous approaches that take a very abstract view of IQ properties, we allow scientists to define the quality characteristics that are of importance to them in their particular domain. For example, "accuracy" may be defined in terms of the conformance of experimental data to a particular standard. User-scientists specify their IQ preferences against a formal ontology, so that the definitions are machinemanipulable, allowing the environment to classify and organise domain-specific quality characteristics within an overall quality management framework. As an illustration of our approach, we present an example Web service that computes IQ annotations for experiment datasets in transcriptomics. key words: information quality; ontology; e-Science; Semantic Grid

• Type: Journal
• Year: 2008
• Where: CONCURRENCY
• Authors: Alun D. Preece, Paolo Missier, Suzanne M. Embury, Binling Jin, R. Mark Greenwood
• Keywords: CONCURRENCY 2008, Domain-specific Quality Characteristics, IQ Properties, Overall Quality Management