Abstract
Provenance for data derived from large-scale workflows across organizations and disciplines can be complex. Users in different roles find their interpretation onerous unless it is presented in a form that is easily consumable for the given task at hand. In this position paper, we motivate the need and discuss key challenges for presenting provenance across different granularities to support data quality forensics for diverse users. We also offer potential modeling and algorithmic solutions.
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Biton, O., Cohen-Boulakia, S., Davidson, S., Hara, C.: Querying and managing provenance through user views in scientific workflows. In: ICDE (2008)
Simmhan, Y.L., Plale, B., Gannon, D.: A survey of data provenance in e-science. SIGMOD Rec. 34 (2005)
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© 2012 Springer-Verlag Berlin Heidelberg
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Zhao, J., Simmhan, Y., Prasanna, V. (2012). On Presenting Apropos Provenance for Situation Awareness and Data Forensics. In: Groth, P., Frew, J. (eds) Provenance and Annotation of Data and Processes. IPAW 2012. Lecture Notes in Computer Science, vol 7525. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34222-6_30
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DOI: https://doi.org/10.1007/978-3-642-34222-6_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34221-9
Online ISBN: 978-3-642-34222-6
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