Towards Ontology Driven Provenance in Scientific Workflow Engine

Anila Butt, Nicholas Car, Peter Fitch

Abstract

Most workflow engines automatically capture and provide access to their workflow provenance, which enables its users to trust and reuse scientific workflows and their data products. However, the deed of instrumenting a workflow engine to capture and query provenance data is burdensome. The task may require adding hooks to the workflow engine, which can lead to perturbation in execution. An alternative approach is intelligent logging and a careful analysis of logs to extract critical information about workflows. However, rapid growth in the size of the log and the cloud-based multi-tenant nature of the engines has made this solution increasingly inefficient. We have proposed ProvAnalyser, an ontology-based approach to capture the provenance of workflows from event logs. Our approach reduces provenance use cases to SPARQL queries over captured provenance and is capable of reconstructing complete data and invocation dependency graphs for a workflow run. The queries can be performed on nested workflow executions and can return information generated from one or various executions.

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Paper Citation


in Harvard Style

Butt A., Car N. and Fitch P. (2020). Towards Ontology Driven Provenance in Scientific Workflow Engine.In Proceedings of the 8th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD, ISBN 978-989-758-400-8, pages 105-115. DOI: 10.5220/0008963701050115


in Bibtex Style

@conference{modelsward20,
author={Anila Butt and Nicholas Car and Peter Fitch},
title={Towards Ontology Driven Provenance in Scientific Workflow Engine},
booktitle={Proceedings of the 8th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,},
year={2020},
pages={105-115},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008963701050115},
isbn={978-989-758-400-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,
TI - Towards Ontology Driven Provenance in Scientific Workflow Engine
SN - 978-989-758-400-8
AU - Butt A.
AU - Car N.
AU - Fitch P.
PY - 2020
SP - 105
EP - 115
DO - 10.5220/0008963701050115