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SHARP: Harmonizing Galaxy and Taverna workflow provenance

Year: 2017

Type: conference-paper

Abstract: 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.

Source: HAL

Authors: Gaignard, Alban, Belhajjame, Khalid, Skaf-Molli, Hala

Institutions: Institut du Thorax, Lamsade, Laboratoire des Sciences du Numérique de Nantes

Language: English

Topic: Scientific Computing and Data Management

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W2767831077

FWCI: 0.327

Cites: 3

Cited by: 1

Related to: 10