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

  • Authors:

  • A. Preece;P. Missier;S. Embury;B. Jin;M. Greenwood

  • Affiliations:

  • Department of Computing Science, University of Aberdeen, Aberdeen, U.K.;School of Computer Science, University of Manchester, Manchester, U.K.;School of Computer Science, University of Manchester, Manchester, U.K.;Department of Computing Science, University of Aberdeen, Aberdeen, U.K.;School of Computer Science, University of Manchester, Manchester, U.K.

  • Venue:
  • Concurrency and Computation: Practice & Experience - Selected Papers from the 2005 U.K. e-Science All Hands Meeting (AHM 2005)
  • Year:
  • 2008

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Abstract

In this paper we outline a framework for managing information quality (IQ) in an 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 machine-manipulable, allowing the environment to classify and organize 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. Copyright © 2007 John Wiley & Sons, Ltd.