Provenance and Annotation of Data and Process (Lecture Notes in Computer Science, #6378) (Information Systems and Applications, incl. Internet/Web, and HCI, #6378)

Deborah L. McGuinness (Editor), James R Michaelis (Editor), and Luc Moreau (Editor)

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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.

  • ISBN10 1283477483
  • ISBN13 9781283477482
  • Publish Date 1 January 2011
  • Publish Status Active
  • Out of Print 17 February 2015
  • Publish Country US
  • Imprint Springer
  • Pages 318
  • Language English