Scientific Workflow Reuse through Conceptual Workflows

Nadia Cerezo 1, * Johan Montagnat 1
* Auteur correspondant
1 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe MODALIS
SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : 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.
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Communication dans un congrès
Workshop on Workflows in Support of Large-Scale Science (WORKS'11), Nov 2011, Seattle, United States. pp.1-10, 2011
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https://hal.archives-ouvertes.fr/hal-00677831
Contributeur : Johan Montagnat <>
Soumis le : dimanche 11 mars 2012 - 23:12:21
Dernière modification le : mardi 28 octobre 2014 - 18:41:58
Document(s) archivé(s) le : lundi 26 novembre 2012 - 10:32:09

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  • HAL Id : hal-00677831, version 1

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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, 2011. <hal-00677831>

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