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.

• Type: Conference
• Year: 2006
• Where: DILS
• Authors: Khalid Belhajjame, Suzanne M. Embury, Norman W. Paton
• Keywords: Life Sciences, Analysis Operations, DILS 2006, Incompatible Inputs, Workflow