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Analyzing Provenance Across Heterogeneous Provenance Graphs

Lookup NU author(s): Professor Paolo MissierORCiD


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Provenance generated by different workflow systems is generally expressed using different formats. This is not an issue when scientists analyze provenance graphs in isolation, or when they use the same workflow system. However, when analyzing heterogeneous provenance graphs from multiple systems poses a challenge. To address this problem we adopt ProvONE as an integration model, and show how different provenance databases can be converted to a global ProvONE schema. Scientists can then query this integrated database, exploring and linking provenance across several different workflows that may represent different implementations of the same experiment. To illustrate the feasibility of our approach, we developed conceptual mappings between the provenance databases of two workflow systems (e-Science Central and SciCumulus). We provide cartridges that implement these mappings and generate an integrated provenance database expressed as Prolog facts. To demonstrate its usage, we have developed Prolog rules that enable scientists to query the integrated database.

Publication metadata

Author(s): Oliveira W, Missier P, Ocana K, de Oliveira D, Braganholo V

Editor(s): Marta Mattoso, Boris Glavic

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Provenance and Annotation of Data and Processes: 6th International Provenance and Annotation Workshop (IPAW 2016)

Year of Conference: 2016

Pages: 57-70

Online publication date: 04/06/2016

Acceptance date: 01/01/1900

Publisher: Springer


DOI: 10.1007/978-3-319-40593-3_5

Library holdings: Search Newcastle University Library for this item

Series Title: Lecture Notes in Computer Science

ISBN: 9783319405926