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Provenance and Annotation of Data and Processes

7th International Provenance and Annotation Workshop, IPAW 2018, London, UK, July 9-10, 2018, Proceedings

  • Khalid Belhajjame
  • Ashish Gehani
  • Pinar Alper
Conference proceedings IPAW 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11017)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 11017)

Table of contents

  1. Front Matter
    Pages I-X
  2. Reproducibility

    1. Front Matter
      Pages 1-1
    2. Renan Souza, Marta Mattoso
      Pages 16-29
  3. Modeling, Simulating and Capturing Provenance

    1. Front Matter
      Pages 43-43
    2. Benjamin E. Ujcich, Adam Bates, William H. Sanders
      Pages 45-57
    3. Carlos Sáenz-Adán, Luc Moreau, Beatriz Pérez, Simon Miles, Francisco J. García-Izquierdo
      Pages 58-70
    4. Pinar Alper, Elliot Fairweather, Vasa Curcin
      Pages 71-83
  4. PROV Extensions

    1. Front Matter
      Pages 85-85
    2. João Felipe N. Pimentel, Paolo Missier, Leonardo Murta, Vanessa Braganholo
      Pages 87-100
    3. Michael A. C. Johnson, Luc Moreau, Adriane Chapman, Poshak Gandhi, Carlos Sáenz-Adán
      Pages 101-112
  5. Scientific Workflows

    1. Front Matter
      Pages 113-113
    2. Abdussalam Alawini, Leshang Chen, Susan Davidson, Stephen Fisher, Junhyong Kim
      Pages 115-127
    3. Shawn Bowers, Timothy McPhillips, Bertram Ludäscher
      Pages 128-141
  6. Applications

    1. Front Matter
      Pages 143-143
    2. Belfrit Victor Batlajery, Mark Weal, Adriane Chapman, Luc Moreau
      Pages 145-157
  7. System Demonstrations

    1. Front Matter
      Pages 171-171
    2. Shen Xu, Elliot Fairweather, Toby Rogers, Vasa Curcin
      Pages 173-176
  8. Joint IPAW/TaPP Poster Session

    1. Front Matter
      Pages 181-181
    2. Vítor Silva, Renan Souza, Jose Camata, Daniel de Oliveira, Patrick Valduriez, Alvaro L. G. A. Coutinho et al.
      Pages 183-187
    3. André Giesler, Myriam Czekala, Björn Hagemeier
      Pages 188-191
    4. Andreas Ruscheinski, Dragana Gjorgevikj, Marcus Dombrowsky, Kai Budde, Adelinde M. Uhrmacher
      Pages 192-195
    5. David Corsar, Milan Markovic, Peter Edwards
      Pages 196-199
    6. Milan Markovic, David Corsar, Waqar Asif, Peter Edwards, Muttukrishnan Rajarajan
      Pages 200-203
    7. Sara Boutamina, James D. A. Millington, Simon Miles
      Pages 212-216
    8. Elliot Fairweather, Pinar Alper, Talya Porat, Vasa Curcin
      Pages 217-221
    9. Tanja Auge, Andreas Heuer
      Pages 222-225
    10. Sarah Oppold, Melanie Herschel
      Pages 226-230
    11. Alexander Rasin, Tanu Malik, James Wagner, Caleb Kim
      Pages 231-235
    12. Raza Ahmad, Melanie Bru, Ashish Gehani
      Pages 236-240
    13. Jyothish Soman, Thomas Bytheway, Lucian Carata, Nikilesh D. Balakrishnan, Ripduman Sohan, Robert N. M. Watson
      Pages 241-244
    14. Bernard Roper, Adriane Chapman, David Martin, Jeremy Morley
      Pages 245-251
    15. Anastasia Galkin, Kristin Riebe, Ole Streicher, Francois Bonnarel, Mireille Louys, Michèle Sanguillon et al.
      Pages 252-256
    16. Sérgio Manuel Serra da Cruz, Marcos Bacis Ceddia, Renan Carvalho Tàvora Miranda, Gabriel Rizzo, Filipe Klinger, Renato Cerceau et al.
      Pages 257-261
    17. Harshvardhan Jitendra Pandit, Declan O’Sullivan, Dave Lewis
      Pages 262-265
    18. Pinar Alper, Regina Becker, Venkata Satagopam, Christophe Trefois, Valentin Grouès, Jacek Lebioda et al.
      Pages 266-269
  9. Back Matter
    Pages 271-272

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 7th International Provenance and Annotation Workshop, IPAW 2018, held in London, UK, in July 2018.

The 12 revised full papers, 19 poster papers, and 2 demonstration papers presented were carefully reviewed and selected from 50 submissions. The papers feature a variety of provenance-related topics ranging from the capture and inference of provenance to its use and application.They are organized in topical sections on reproducibility; modeling, simulating and capturing provenance; PROV extensions; scientific workflows; applications; and system demonstrations.

Keywords

artificial intelligence big data cloud computing computer systems data privacy data security databases debugging internet map-reduce metadata ontologies program debugging programming languages semantic web semantics software engineering user interfaces world wide web

Editors and affiliations

  1. 1.Paris Dauphine UniversityParisFrance
  2. 2.SRI InternationalMenlo ParkUSA
  3. 3.University of LuxembourgBelvauxLuxembourg

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-98379-0
  • Copyright Information Springer Nature Switzerland AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-98378-3
  • Online ISBN 978-3-319-98379-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site