Provenance and Annotation of Data and Processes Second International
This book constitutes the thoroughly refereed post-conference proceedings of the Second International Provenance and Annotation Workshop, IPAW 2008, held in Salt Lake City, UT, USA, in June 2007. The 14 revised full papers and 15 revised short and demo pa
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Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Alfred Kobsa University of California, Irvine, CA, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen University of Dortmund, Germany Madhu Sudan Massachusetts Institute of Technology, MA, USA Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany
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Juliana Freire David Koop Luc Moreau (Eds.)
Provenance and Annotation of Data and Processes Second International Provenance and Annotation Workshop IPAW 2008 Salt Lake City, UT, USA, June 17-18, 2008 Revised Selected Papers
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Volume Editors Juliana Freire David Koop University of Utah, School of Computing Salt Lake City, UT 84112, USA E-mail: {juliana, [email protected]} Luc Moreau University of Southampton School of Electronics and Computer Science Southhampton SO17 1BJ, UK E-mail: [email protected]
Library of Congress Control Number: 2008940592 CR Subject Classification (1998): H.3, H.4, D.4, E.2, H.5, K.6, K.4 LNCS Sublibrary: SL 3 – Information Systems and Application, incl. Internet/Web and HCI ISSN ISBN-10 ISBN-13
0302-9743 3-540-89964-2 Springer Berlin Heidelberg New York 978-3-540-89964-8 Springer Berlin Heidelberg New York
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Preface
Computing has been an enormous accelerator to science and industry alike and it has led to an information explosion in many different fields. The unprecedented volume of data acquired from sensors, derived by simulations and data analysis processes, accumulated in warehouses, and often shared on the Web, has given rise to a new field of research: provenance management. Provenance (also referred to as audit trail, lineage, and pedigree) captures information about the steps used to generate a given data product. Such information
