Life Science research has extended beyond in vivo and in vitro bench-bound science to incorporate in silico knowledge discovery, using resources that have been developed over time by different teams for different purposes and in
different forms. The myGrid project has developed a set of software components and a workbench, Taverna, for building, running and sharing workflows
that link third party bioinformatics services, such as databases, analytic tools and applications. Intelligently discovering
prior services, workflow or data is aided by a Semantic Web of annotations, as is the building of the workflows themselves.
Metadata associated with the workflow experiments, the provenance of the data outcomes and the record of the experimental
process need to be flexible and extensible. Semantic Web metadata technologies would seem to be well-suited to building a
Semantic Web of provenance. We have the potential to integrate and aggregate workflow outcomes, and reason over provenance
logs to identify new experimental insights, and to build and export a Semantic Web of experiments that contributes to Knowledge
Discovery for Taverna users and for the scientific community as a whole.
Key words workflow - in silico - services - Web Services - Semantic Web - Taverna - discovery - publication - provenance - metadata - annotation - LSID - ontology -
myGrid - experiment Web - e-Science