Provenance and scientific workflows: challenges and opportunities
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Scalable access controls for lineage
TAPP'09 First workshop on on Theory and practice of provenance
Application of named graphs towards custom provenance views
TAPP'09 First workshop on on Theory and practice of provenance
Understanding provenance black boxes
Distributed and Parallel Databases
Towards query interoperability: PASSing PLUS
TAPP'10 Proceedings of the 2nd conference on Theory and practice of provenance
The Foundations for Provenance on the Web
Foundations and Trends in Web Science
It's about the data: provenance as a tool for assessing data fitness
TaPP'12 Proceedings of the 4th USENIX conference on Theory and Practice of Provenance
Towards semantic comparison of multi-granularity process traces
Knowledge-Based Systems
A provenance-based approach to evaluate data quality in eScience
International Journal of Metadata, Semantics and Ontologies
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ZOOM* UserViews presents a model of provenance for scientific workflows that is simple, generic, and yet sufficiently expressive to answer questions of data and step provenance that have been encountered in a large variety of scientific case studies. In addition, ZOOM builds on the concept of composite step-classes—or sub-workflows—which is present in many scientific workflow systems to develop a notion of user views. This paper discusses the design and implementation of ZOOM in the context of the queries posed by the provenance challenge, and shows how user views affect the level of granularity at which provenance information can be seen and reasoned about. Copyright © 2007 John Wiley & Sons, Ltd.