Provenance and Annotation of Data

International Provenance and Annotation Workshop, IPAW 2006, Chicago, IL, USA, May 3-5, 2006, Revised Selected Papers

  • Luc Moreau
  • Ian Foster
Conference proceedings IPAW 2006

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4145)

Table of contents

  1. Front Matter
  2. Session 1: Keynotes

    1. Roger S. Barga, Luciano A. Digiampietri
      Pages 1-9
    2. Juliana Freire, Cláudio T. Silva, Steven P. Callahan, Emanuele Santos, Carlos E. Scheidegger, Huy T. Vo
      Pages 10-18
  3. Session 2: Applications

    1. Dimitri Bourilkov, Vaibhav Khandelwal, Archis Kulkarni, Sanket Totala
      Pages 19-27
    2. Sergio Álvarez, Javier Vázquez-Salceda, Tamás Kifor, László Z. Varga, Steven Willmott
      Pages 28-36
    3. Guy K. Kloss, Andreas Schreiber
      Pages 37-45
    4. Miguel Branco, Luc Moreau
      Pages 55-63
  4. Session 4: Semantics 1

    1. Joe Futrelle
      Pages 64-72
    2. Tara D. Talbott, Karen L. Schuchardt, Eric G. Stephan, James D. Myers
      Pages 73-81
    3. Christian Halaschek-Wiener, Jennifer Golbeck, Andrew Schain, Michael Grove, Bijan Parsia, Jim Hendler
      Pages 82-89
    4. Yolanda Gil, Varun Ratnakar, Ewa Deelman
      Pages 90-100
  5. Session 5: Workflow

    1. Ian Wootten, Omer Rana, Shrija Rajbhandari
      Pages 109-117
    2. Ilkay Altintas, Oscar Barney, Efrat Jaeger-Frank
      Pages 118-132
    3. Shawn Bowers, Timothy McPhillips, Bertram Ludäscher, Shirley Cohen, Susan B. Davidson
      Pages 133-147
    4. Yong Zhao, Michael Wilde, Ian Foster
      Pages 148-161
  6. Session 6: Models of Provenance, Annotations and Processes

    1. Peter Buneman, Adriane Chapman, James Cheney, Stijn Vansummeren
      Pages 162-170
    2. Uri Braun, Simson Garfinkel, David A. Holland, Kiran-Kumar Muniswamy-Reddy, Margo I. Seltzer
      Pages 171-183
    3. Rajendra Bose, Robert G. Mann, Diego Prina-Ricotti
      Pages 193-202
  7. Session 8: Systems

    1. Victor Tan, Paul Groth, Simon Miles, Sheng Jiang, Steve Munroe, Sofia Tsasakou et al.
      Pages 203-211
    2. Imran Khan, Ronald Schroeter, Jane Hunter
      Pages 212-221
    3. Yogesh L. Simmhan, Beth Plale, Dennis Gannon, Suresh Marru
      Pages 222-236
    4. Christine F. Reilly, Jeffrey F. Naughton
      Pages 237-245
    5. František Dvořák, Daniel Kouřil, Aleš Křenek, Luděk Matyska, Miloš Mulač, Jan Pospíšil et al.
      Pages 246-253
  8. Session 9: Semantics 2

    1. Jun Zhao, Carole Goble, Robert Stevens
      Pages 254-269
    2. Jeremy Frey, David De Roure, Kieron Taylor, Jonathan Essex, Hugo Mills, Ed Zaluska
      Pages 270-277
  9. Back Matter

About these proceedings


Provenance is a well understood concept in the study of ?ne art, where it refers to the documented history of an art object. Given that documented history, the objectattains anauthority that allows scholarsto understandand appreciateits importance and context relative to other works. In the absence of such history, art objects may be treated with some skepticism by those who study and view them. Over the last few years, a number of teams have been applying this concept of provenance to data and information generated within computer systems. If the provenance of data produced by computer systems can be determined as it can for some works of art, then users will be able to understand (for example) how documents were assembled, how simulation results were determined, and how ?nancial analyses were carried out. A key driver for this research has been e-Science. Reproducibility of results and documentation of method have always been important concerns in science, and today scientists of many ?elds (such as bioinformatics, medical research, chemistry, and physics) see provenanceas a mechanism that can help repeat s- enti?cexperiments,verifyresults,andreproducedataproducts.Likewise,pro- nance o?ers opportunities for the business world, since it allows for the analysis of processes that led to results, for instance to check they are well-behaved or satisfy constraints; hence, provenance o?ers the means to check compliance of processes,on the basis of their actual execution. Indeed, increasing regulation of many industries (for example, ?nancial services) means that provenance reco- ing is becoming a legal requirement.


Service Oriented Architecture (SOA) Simulation data annotation data derivation data provenance identity information documentation metadata management performance performance evaluation process documentation process provenance security trust virtual lofbooks

Editors and affiliations

  • Luc Moreau
    • 1
  • Ian Foster
    • 2
  1. 1.School of Electronics and Computer ScienceUniversity of SouthamptonSouthhamptonUK
  2. 2.Mathematics & Computer Science Division, Argonne National Laboratory 

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-540-46302-3
  • Online ISBN 978-3-540-46303-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site