A provenance-based approach to resource discovery in distributed molecular dynamics workflows
RED'09 Proceedings of the 2nd international conference on Resource discovery
The Foundations for Provenance on the Web
Foundations and Trends in Web Science
Provenance management in Swift
Future Generation Computer Systems
SciProv: an architecture for semantic query in provenance metadata on e-science context
ITBAM'11 Proceedings of the Second international conference on Information technology in bio- and medical informatics
ProvManager: a provenance management system for scientific workflows
Concurrency and Computation: Practice & Experience
MTCProv: a practical provenance query framework for many-task scientific computing
Distributed and Parallel Databases
Monitoring SOA-based applications with business provenance
Proceedings of the 28th Annual ACM Symposium on Applied Computing
LOP: capturing and linking open provenance on LOD cycle
Proceedings of the Fifth Workshop on Semantic Web Information Management
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Scientific Workflow Management Systems (SWfMS) have been helping scientists to prototype and execute in silico experiments. They can systematically collect provenance information for the derived data products to be later queried. Despite the efforts on building a standard Open Provenance Model (OPM), provenance is tightly coupled to SWfMS. Thus scientific workflow provenance concepts, representation and mechanisms are very heterogeneous, difficult to integrate and dependent on the SWfMS. To help comparing, integrating and analyzing scientific workflow provenance, this paper presents a taxonomy about provenance characteristics. Its classification enables computer scientists to distinguish between different perspectives of provenance and guide to a better understanding of provenance data in general. The analysis of existing approaches will assist us in managing provenance data from distributed heterogeneous workflow executions.