Why and Where: A Characterization of Data Provenance
ICDT '01 Proceedings of the 8th International Conference on Database Theory
Lineage retrieval for scientific data processing: a survey
ACM Computing Surveys (CSUR)
A survey of data provenance in e-science
ACM SIGMOD Record
A model of process documentation to determine provenance in mash-ups
ACM Transactions on Internet Technology (TOIT)
Data Lineage Model for Taverna Workflows with Lightweight Annotation Requirements
Provenance and Annotation of Data and Processes
The Foundations for Provenance on the Web
Foundations and Trends in Web Science
A provenance-based compliance framework
FIS'10 Proceedings of the Third future internet conference on Future internet
PrIMe: A methodology for developing provenance-aware applications
ACM Transactions on Software Engineering and Methodology (TOSEM)
Provenance-based auditing of private data use
VoCS'08 Proceedings of the 2008 international conference on Visions of Computer Science: BCS International Academic Conference
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The provenance of entities, whether electronic data or physical artefacts, is crucial information in practically all domains, including science, business and art. The increased use of software in automating activities provides the opportunity to add greatly to the amount we can know about an entity's history and the process by which it came to be as it is. However, it also presents difficulties: querying for the provenance of an entity could potentially return detailed information stretching back to the beginning of time, and most of it irrelevant to the querier. In this paper, we define the concept of provenance query and describe techniques that allow us to perform scoped provenance queries.