Relational database: a practical foundation for productivity
Communications of the ACM
Named graphs, provenance and trust
WWW '05 Proceedings of the 14th international conference on World Wide Web
Addressing the provenance challenge using ZOOM
Concurrency and Computation: Practice & Experience - The First Provenance Challenge
Proceedings of the 17th international conference on World Wide Web
Provenance collection support in the kepler scientific workflow system
IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
The Foundations for Provenance on the Web
Foundations and Trends in Web Science
Towards unified provenance granularities
IPAW'12 Proceedings of the 4th international conference on Provenance and Annotation of Data and Processes
Towards semantic comparison of multi-granularity process traces
Knowledge-Based Systems
Static compiler analysis for workflow provenance
WORKS '13 Proceedings of the 8th Workshop on Workflows in Support of Large-Scale Science
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Provenance capture as applied to execution oriented and interactive workflows is designed to record minute detail needed to support a "modify and restart" paradigm as well as re-execution of past workflows. In our experience, provenance also plays an important role in human-centered verification, results tracking, and knowledge sharing. However, the amount of information recorded by provenance capture mechanisms generally obfuscates the conceptual view of events. There is a need for a flexible means to create and dynamically control user oriented views over the detailed provenance record. In this paper, we present a design which leverages named graphs and extensions to the SPARQL query language to create and manage views as a server-side function, simplifying user presentation of provenance data.