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Provenance and Annotation of Data Book

Provenance and Annotation of Data
Provenance and Annotation of Data, This book constitutes the thoroughly referred post-proceedings of the International Provenance and Annotation Workshops, IPAW 2006, held in Chicago, Il, USA in May 2006. The 26 revised full papers presented together with two keynote papers were carefully , Provenance and Annotation of Data has a rating of 3 stars
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Provenance and Annotation of Data, This book constitutes the thoroughly referred post-proceedings of the International Provenance and Annotation Workshops, IPAW 2006, held in Chicago, Il, USA in May 2006. The 26 revised full papers presented together with two keynote papers were carefully , Provenance and Annotation of Data
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  • Provenance and Annotation of Data
  • Written by author Luc Moreau
  • Published by Springer-Verlag New York, LLC, January 2008
  • This book constitutes the thoroughly referred post-proceedings of the International Provenance and Annotation Workshops, IPAW 2006, held in Chicago, Il, USA in May 2006. The 26 revised full papers presented together with two keynote papers were carefully
  • This book constitutes the thoroughly referred postproceeding of the International Provenance and Annotation Workshops, IPAW 2006, held in Chicago, Il, USA in May 2006.The 26 revised full papers presented together with 2 keynote papers were carefully se
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Book Categories

Authors

Keynotes
Automatic Generation of Workflow Provenance   Roger S. Barga   Luciano A. Digiampietri     1
Managing Rapidly-Evolving Scientific Workflows   Juliana Freire   Claudio T. Silva   Steven P. Callahan   Emanuele Santos   Carlos E. Scheidegger   Huy T. Vo     10
Applications
Virtual Logbooks and Collaboration in Science and Software Development   Dimitri Bourilkov   Vaibhav Khandelwal   Archis Kulkarni   Sanket Totala     19
Applying Provenance in Distributed Organ Transplant Management   Sergio Alvarez   Javier Vazquez-Salceda   Tamas Kifor   Laszlo Z. Varga   Steven Willmott     28
Provenance Implementation in a Scientific Simulation Environment   Guy K. Kloss   Andreas Schreiber     37
Towards Low Overhead Provenance Tracking in Near Real-Time Stream Filtering   Nithya N. Vijayakumar   Beth Plale     46
Enabling Provenance on Large Scale e-Science Applications   Miguel Branco   Luc Moreau     55
Discussion
Semantics 1
Harvesting RDF Triples   Joe Futrelle     64
Mapping Physical Formats to Logical Models to Extract Data and Metadata: The Defuddle Parsing Engine   Tara D.Talbott   Karen L. Schuchardt   Eric G. Stephan   James D. Myers     73
Annotation and Provenance Tracking in Semantic Web Photo Libraries   Christian Halaschek-Wiener   Jennifer Golbeck   Andrew Schain   Michael Grove   Bijan Parsia   Jim Hendler     82
Metadata Catalogs with Semantic Representations   Yolanda Gil   Varun Ratnakar   Ewa Deelman     90
Combining Provenance with Trust in Social Networks for Semantic Web Content Filtering   Jennifer Golbeck     101
Workflow
Recording Actor State in Scientific Workflows   Ian Wootten   Omer Rana   Shrija Rajbhandari     109
Provenance Collection Support in the Kepler Scientific Workflow System   Ilkay Altintas   Oscar Barney   Efrat Jaeger-Frank     118
A Model for User-Oriented Data Provenance in Pipelined Scientific Workflows   Shawn Bowers   Timothy McPhillips   Bertram Ludacher   Shirley Cohen   Susan B. Davidson     133
Applying the Virtual Data Provenance Model   Yong Zhao   Michael Wilde   Ian Foster     148
Models of Provenance, Annotations and Processes
A Provenance Model for Manually Curated Data   Peter Buneman   Adriane Chapman   James Cheney   Stijn Vansummeren     162
Issues in Automatic Provenance Collection   Uri Braun   Simson Garfinkel   David A. Holland   Kiran-Kumar Muniswamy-Reddy   Margo I. Seltzer     171
Electronically Querying for the Provenance of Entities   Simon Miles     184
AstroDAS: Sharing Assertions Across Astronomy Catalogues Through Distributed Annotation   Rajendra Bose   Robert G. Mann   Diego Prina-Ricotti     193
Gong Show
Systems
Security Issues in a SOA-Based Provenance System   Victor Tan   Paul Groth   Simon Miles   Sheng Jiang   Steve Munroe   Sofia Tsasakou   Luc Moreau     203
Implementing a Secure Annotation Service   Imran Khan   Ronald Schroeter   Jane Hunter     212
Performance Evaluation of the Karma Provenance Framework for Scientific Workflows   Yogesh L. Simmhan   Beth Plale   Dennis Gannon   Suresh Marru     222
Exploring Provenance in a Distributed Job Execution System   Christine F. Reilly   Jeffrey F. Naughton     237
gLite Job Provenance   Frantisek Dvorak   Daniel Kouril    Ales Krenek   Ludek Matyska   Milos Mulac   Jan Pospisil   Miroslav Ruda   Zdenek Salvet   Jin Sitera   Michal Vocu     246
Semantics 2
An Identity Crisis in the Life Sciences   Jun Zhao   Carole Goble   Robert Stevens     254
CombeChem: A Case Study in Provenance and Annotation Using the Semantic Web   Jeremy Frey   David De Roure   Kieron Taylor   Jonathan Essex   Hugo Mills   Ed Zaluska     270
Principles of High Quality Documentation for Provenance: A Philosophical Discussion   Paul Groth   Simon Miles   Steve Munroe     278
Final Discussion
Author Index     287


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Provenance and Annotation of Data, This book constitutes the thoroughly referred post-proceedings of the International Provenance and Annotation Workshops, IPAW 2006, held in Chicago, Il, USA in May 2006. The 26 revised full papers presented together with two keynote papers were carefully , Provenance and Annotation of Data

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Provenance and Annotation of Data, This book constitutes the thoroughly referred post-proceedings of the International Provenance and Annotation Workshops, IPAW 2006, held in Chicago, Il, USA in May 2006. The 26 revised full papers presented together with two keynote papers were carefully , Provenance and Annotation of Data

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Provenance and Annotation of Data, This book constitutes the thoroughly referred post-proceedings of the International Provenance and Annotation Workshops, IPAW 2006, held in Chicago, Il, USA in May 2006. The 26 revised full papers presented together with two keynote papers were carefully , Provenance and Annotation of Data

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