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Computer Science - Database Management & Information Retrieval | Provenance and Annotation of Data and Process - Third International Provenance and Annotation

Provenance and Annotation of Data and Process

Third International Provenance and Annotation Workshop, Troy, NY, June 15-16, 2010, Revised Selected Papers

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

Related subjects » Communication Networks - Database Management & Information Retrieval - General Issues - Software Engineering

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