On characterising and identifying mismatches in scientific workflows

  • Authors:
  • Khalid Belhajjame;Suzanne M. Embury;Norman W. Paton

  • Affiliations:
  • School of Computer Science, University of Manchester, Manchester, UK;School of Computer Science, University of Manchester, Manchester, UK;School of Computer Science, University of Manchester, Manchester, UK

  • Venue:
  • DILS'06 Proceedings of the Third international conference on Data Integration in the Life Sciences
  • Year:
  • 2006

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Abstract

Workflows are gaining importance as a means for modelling and enacting in silico scientific experiments. A major issue which arises when aggregating a collection of analysis operations within a workflow is the compatibility of their inputs and outputs: the analysis operations are supplied by independently developed web services which are likely to have incompatible inputs and outputs. We use the term mismatch to refer to such incompatibility. This paper characterises the mismatches a scientific workflow may suffer from and specifies mappings for their resolution.