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.
Keywords
- Data Link
- Analysis Operation
- Connected Parameter
- Type Mismatch
- Representation Mismatch
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 2006 Springer-Verlag Berlin Heidelberg
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Belhajjame, K., Embury, S.M., Paton, N.W. (2006). On Characterising and Identifying Mismatches in Scientific Workflows. In: Leser, U., Naumann, F., Eckman, B. (eds) Data Integration in the Life Sciences. DILS 2006. Lecture Notes in Computer Science(), vol 4075. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11799511_22
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DOI: https://doi.org/10.1007/11799511_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36593-8
Online ISBN: 978-3-540-36595-2
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