Scientific Workflow Reuse through Conceptual Workflows

Nadia Cerezo (1) , Johan Montagnat (1)

1 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe MODALIS

An increasing number of scientific experiments are"in-silico": carried out at least partially using computers. Scientific Workflows have become a key tool to model and implement such experiments, but they tangle domain knowledge, tech- nical know-how and non-functional concerns and are, as a result, difficult to understand, reuse or repurpose. In order to ease Scientific Workflow Reuse, this paper de- fines a Conceptual Workflow model that is closer to the end- user's domain and intentions. By placing our model higher on the abstraction scale, we can separate concerns and em- phasize the in-silico experiment inside the workflow, thus improving readability and re-usability. The conceptual representation can then be transformed into a regular Abstract Scientific Workflow, exploiting both domain and non-functional knowledge that are captured and harnessed through the use of Semantic Web technologies.

Domaines: Calcul parallèle, distribué et partagé [cs.DC]

Nadia Cerezo, Johan Montagnat. Scientific Workflow Reuse through Conceptual Workflows. Workshop on Workflows in Support of Large-Scale Science (WORKS'11), Nov 2011, Seattle, United States. pp.1-10. ⟨hal-00677831⟩