The 7 revised full papers, 11 revised medium-length papers, 6
revised short, and 7 demo papers presented together with 10
poster/abstract papers describing late-breaking work were carefully
reviewed and selected from numerous submissions. Provenance has
been recognized to be important in a wide range of areas including
databases, workflows, knowledge representation and reasoning, and
digital libraries. Thus, many disciplines have proposed a wide
range of provenance models, techniques, and infrastructure for
encoding and using provenance. The papers investigate many facets
of data provenance, process documentation, data derivation, and
data annotation.
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