RQL: a declarative query language for RDF
Proceedings of the 11th international conference on World Wide Web
Addressing the provenance challenge using ZOOM
Concurrency and Computation: Practice & Experience - The First Provenance Challenge
VisComplete: Automating Suggestions for Visualization Pipelines
IEEE Transactions on Visualization and Computer Graphics
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
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The end goal of provenance is to assist users in understanding their data: How was it created? When? By whom? How was it manipulated? In other words, provenance is a powerful tool to help users answer the question, "Is this data fit for use?" However, there is no one set of criteria that make data "fit for use". The criteria depend on the user, the task at hand, and the current situation. In this work we describe Fitness Widgets, predefined queries over provenance graphs that users can customize to determine data fitness. We have implemented Fitness Widgets in our provenance system, PLUS.