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Conference Papers Year : 2017

SHARP: Harmonizing Galaxy and Taverna workflow provenance


SHARP is a Linked Data approach for harmonizing cross-workflow provenance. In this demo, we demonstrate SHARP through a real-world omic experiment involving workflow traces generated by Taverna and Galaxy systems. SHARP starts by interlinking provenance traces generated by Galaxy and Taverna workflows and then harmonize the interlinked graphs thanks to OWL and PROV inference rules. The resulting provenance graph can be exploited for answering queries across Galaxy and Taverna workflow runs.
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hal-01768401 , version 1 (17-04-2018)


  • HAL Id : hal-01768401 , version 1


Alban Gaignard, Khalid Belhajjame, Hala Skaf-Molli. SHARP: Harmonizing Galaxy and Taverna workflow provenance. SeWeBMeDA 2017 : Semantic Web solutions for large-scale BioMedical Data Analtics, May 2017, Portoroz, Slovenia. ⟨hal-01768401⟩
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