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Provenance and Annotation of Data and Processes [electronic resource] :Third International Provenance and Annotation Workshop, IPAW 2010, Troy, NY, USA, June 15-16, 2010. Revised Selected Papers /

Contributor(s): McGuinness, Deborah L [editor.] | Michaelis, James R [editor.] | Moreau, Luc [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 6378Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.Description: XII, 306 p. 87 illus., 53 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642178191.Subject(s): Computer science | Computer communication systems | Operating systems (Computers) | Information storage and retrieval | Computers and civilization | Management information systems | Computer Science | Information Storage and Retrieval | Information Systems Applications (incl. Internet) | Operating Systems | Computers and Society | Management of Computing and Information Systems | Computer Communication NetworksOnline resources: Click here to access online In: Springer eBooksSummary: 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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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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