Provenance and scientific workflows: challenges and opportunities
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
A Logic Programming Approach to Scientific Workflow Provenance Querying
Provenance and Annotation of Data and Processes
DIPAS: A distributed performance analysis service for grid service-based workflows
Future Generation Computer Systems
Workflows and e-Science: An overview of workflow system features and capabilities
Future Generation Computer Systems
Optimizing user views for workflows
Proceedings of the 12th International Conference on Database Theory
The Foundations for Provenance on the Web
Foundations and Trends in Web Science
Hiding data and structure in workflow provenance
DNIS'11 Proceedings of the 7th international conference on Databases in Networked Information Systems
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The provenance of a data item refers to its origins and processing history, while annotation is a term that refers to the process of adding notes or data to an existing structure. Because these terms are broad, and are used in slightly different ways by different communities, confusion is rampant. For example, consider that (1) annotating a data set with its provenance information, and (2) finding the provenance of a specific data annotation are both perfectly reasonable concepts.