Abstract
Analyzing disperse and heterogeneous provenance data usually requires using higher-level tools which scientists need to learn. In our view, scientists should be able to analyze provenance in the SWfMS of their choice. In this paper, we propose Géfyra, an architecture based on the PROV-Wf model, which provides a way to capture heterogeneous provenance data from different SWfMSs into a single format. Géfyra exports and imports provenance data to/ from different SWfMSs, allowing scientists to use the system of their choice.
Cite
CITATION STYLE
Oliveira, W., de Oliveira, D., & Braganholo, V. (2015). Experiencing PROV-Wf for provenance interoperability in SWfMSs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8628, pp. 294–296). Springer Verlag. https://doi.org/10.1007/978-3-319-16462-5_38
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