McGuinness, Deborah L., Michaelis, James R., Moreau, Luc (Eds.)
2011, XII, 306p.
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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.
Content Level »Professional/practitioner
Keywords »Web application - automatic parallelization - automatic updating - capture - climate - cloud computing - collaboration - confidence - distributed systems - information documentation - metadata management - multiscale - ontology - privacy - python - semantic Web - semantic collaboration - social Web - validation