Using ontologies for verification and validation of workflow-based experiments

摘要

Scientific experiments performed in the eScience domain require special tooling, software, and workflows that allow researchers to link, transform, visualise and interpret data. Recent studies report that such experiments often cannot be replicated due to differences in the underlying infrastructure. The provenance collection mechanisms were built into workflow engines to increase research replicability. However, the traces do not contain the execution context that consists of software, hardware and external services used to produce the result which may change between executions.