Provenance and Annotation of Data and Process

von

McGuinness, Deborah L.Hrsg.Michaelis, James R.Hrsg.Moreau, LucHrsg.

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306 Seiten

Englisch

Springer Berlin Heidelbergerschienen am30.11.20102011

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.mehr

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KlappentextThe 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.

Details

Weitere ISBN/GTIN9783642178191

ProduktartE-Book

EinbandartE-Book

FormatPDF

Format Hinweis1 - PDF Watermark

FormatE107

Verlag

Springer Berlin Heidelberg

Erscheinungsjahr2010

Erscheinungsdatum30.11.2010

Auflage2011