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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语言 英语 ● 格式 PDF ● ISBN 9783642178191 ● 编辑 Deborah L. McGuinness & James R. Michaelis ● 出版者 Springer Berlin Heidelberg ● 发布时间 2010 ● 下载 3 时 ● 货币 EUR ● ID 6321877 ● 复制保护 Adobe DRM
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