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Provenance systems can produce enormous provenance graphs that can be
used for a variety of tasks from deter- mining the inputs to a particular
process to debugging entire workflow executions or tracking
difficult-to-find dependencies. Visualization can be a useful tool to
sup- port such tasks, but graphs of such scale (thousands to millions of
nodes) are notoriously difficult to visualize. This paper presents the
Provenance Map Orbiter, a tool for interactively exploring large
provenance graphs using graph summarization and semantic zoom. It
presents its users with a high-level abstracted view of the graph and the
ability to incrementally drill down to the details.
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