ProvONE+: A Provenance Model for Scientific Workflows

Author:

Butt Anila SaharORCID,Fitch PeterORCID

Publisher

Springer International Publishing

Reference16 articles.

1. Altintas, I., Berkley, C., Jaeger, E., Jones, M., Ludascher, B., Mock, S.: Kepler: an extensible system for design and execution of scientific workflows. In: Proceedings of the 16th International Conference on Scientific and Statistical Database Management, pp. 423–424 (2004)

2. Belhajjame, K., et al.: Using a suite of ontologies for preserving workflow-centric research objects. J. Web Semant. 32, 16–42 (2015)

3. Cabral, L., Norton, B., Domingue, J.: The business process modelling ontology. In: Proceedings of the 4th International Workshop on Semantic Business Process Management, pp. 9–16. ACM (2009)

4. Cuevas-Vicenttín, V., et al.: ProvONE: a PROV extension data model for scientific workflow provenance. https://purl.dataone.org/provone-v1-dev (2016). Accessed 23 July 2020

5. Lecture Notes in Computer Science;V Curcin,2007

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