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DILS
2006
Springer

On Characterising and Identifying Mismatches in Scientific Workflows

13 years 7 months ago
On Characterising and Identifying Mismatches in Scientific Workflows
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.
Khalid Belhajjame, Suzanne M. Embury, Norman W. Pa
Added 22 Aug 2010
Updated 22 Aug 2010
Type Conference
Year 2006
Where DILS
Authors Khalid Belhajjame, Suzanne M. Embury, Norman W. Paton
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