Modeling and Querying Scientific Workflow Provenance in the D-OPM

Authors:
Victor Cuevas-Vicenttin;Saumen Dey;Michael Li Yuan Wang;Tianhong Song;Bertram Ludascher
Affiliations:
-;-;-;-;-
Venue:
SCC '12 Proceedings of the 2012 SC Companion: High Performance Computing, Networking Storage and Analysis
Year:
2012

Citing 0
Cited 3

The W3C PROV family of specifications for modelling provenance metadata

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D-PROV: extending the PROV provenance model with workflow structure

TaPP'13 Proceedings of the 5th USENIX conference on Theory and Practice of Provenance
D-PROV: extending the PROV provenance model with workflow structure

Proceedings of the 5th USENIX Workshop on the Theory and Practice of Provenance

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Abstract

We present the D-OPM, a model that extends the Open Provenance Model (OPM) with workflow-specific aspects. In particular, our model captures aspects such as the workflow structure, traces, data structure, and workflow evolution. Thus, it enables scientists to obtain detailed information about the origin of data resulting from past experiments, as well as about the process itself and its possible future executions. A reference implementation of the D-OPM validates our model and opens the opportunity for interoperation with multiple workflow systems. Furthermore, to facilitate querying D-OPM data we introduce a querying mechanism based on regular path queries (RPQs) on provenance graphs. Our RPQs evaluator is built on a relational DBMS which makes it robust and extensible.