Discovering models of software processes from event-based data
ACM Transactions on Software Engineering and Methodology (TOSEM)
Mining Process Models from Workflow Logs
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Workflow mining: a survey of issues and approaches
Data & Knowledge Engineering
Workflow Mining: Discovering Process Models from Event Logs
IEEE Transactions on Knowledge and Data Engineering
VisTrails: visualization meets data management
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Scientific workflow management and the Kepler system: Research Articles
Concurrency and Computation: Practice & Experience - Workflow in Grid Systems
Programming scientific and distributed workflow with Triana services: Research Articles
Concurrency and Computation: Practice & Experience - Workflow in Grid Systems
Discovering colored Petri nets from event logs
International Journal on Software Tools for Technology Transfer (STTT)
Query capabilities of the Karma provenance framework
Concurrency and Computation: Practice & Experience - The First Provenance Challenge
Special Issue: The First Provenance Challenge
Concurrency and Computation: Practice & Experience - The First Provenance Challenge
Provenance and scientific workflows: challenges and opportunities
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Editorial: Special section on workflow systems and applications in e-Science
Future Generation Computer Systems
Workflows and e-Science: An overview of workflow system features and capabilities
Future Generation Computer Systems
Fine-grained and efficient lineage querying of collection-based workflow provenance
Proceedings of the 13th International Conference on Extending Database Technology
The Open Provenance Model core specification (v1.1)
Future Generation Computer Systems
Linked provenance data: A semantic Web-based approach to interoperable workflow traces
Future Generation Computer Systems
Characterizing and profiling scientific workflows
Future Generation Computer Systems
Semantics and provenance for processing element composition in dispel workflows
WORKS '13 Proceedings of the 8th Workshop on Workflows in Support of Large-Scale Science
Hi-index | 0.00 |
The Open Provenance Model is designed to capture relationships amongst data values, and amongst processors that produce or consume those values. While OPM graphs are able to describe aspects of a workflow execution, capturing the structure of the workflows themselves is understandably beyond the scope of the OPM specification, since the graphs may be generated by a broad variety of processes, which may not be formal workflows at all. In particular, the OPM does not address two questions: firstly, whether for any OPM graph there exists a plausible workflow, in some model, which could have generated the graph, and secondly, which information should be captured as part of an OPM graph that is derived from the execution of some known type of workflow, so that the workflow structure and the execution trace can both be inferred back from the graph. Motivated by the need to address the Third Provenance Challenge using Taverna workflows and provenance, in this paper we explore the notion of losslessness of OPM graphs relative to Taverna workflows. For the first question, we show that Taverna is a suitable model for representing plausible OPM-generating processes. For the second question, we show how augmenting OPM with two types of annotation makes it lossless with respect to Taverna. We support this claim by presenting a two-way mapping between OPM graphs and Taverna workflows.