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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
    PDF

  2. Reproducibility

    1. Front Matter
      Pages 1-1
      PDF
    2. Provenance Annotation and Analysis to Support Process Re-computation
      Jacek Cała, Paolo Missier
      Pages 3-15
    3. Provenance of Dynamic Adaptations in User-Steered Dataflows
      Renan Souza, Marta Mattoso
      Pages 16-29
    4. Classification of Provenance Triples for Scientific Reproducibility: A Comparative Evaluation of Deep Learning Models in the ProvCaRe Project
      Joshua Valdez, Matthew Kim, Michael Rueschman, Susan Redline, Satya S. Sahoo
      Pages 30-41

  3. Modeling, Simulating and Capturing Provenance

    1. Front Matter
      Pages 43-43
      PDF
    2. A Provenance Model for the European Union General Data Protection Regulation
      Benjamin E. Ujcich, Adam Bates, William H. Sanders
      Pages 45-57
    3. Automating Provenance Capture in Software Engineering with UML2PROV
      Carlos Sáenz-Adán, Luc Moreau, Beatriz Pérez, Simon Miles, Francisco J. García-Izquierdo
      Pages 58-70
    4. Simulated Domain-Specific Provenance
      Pinar Alper, Elliot Fairweather, Vasa Curcin
      Pages 71-83

  4. PROV Extensions

    1. Front Matter
      Pages 85-85
      PDF
    2. Versioned-PROV: A PROV Extension to Support Mutable Data Entities
      João Felipe N. Pimentel, Paolo Missier, Leonardo Murta, Vanessa Braganholo
      Pages 87-100
    3. Using the Provenance from Astronomical Workflows to Increase Processing Efficiency
      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
      PDF
    2. Discovering Similar Workflows via Provenance Clustering: A Case Study
      Abdussalam Alawini, Leshang Chen, Susan Davidson, Stephen Fisher, Junhyong Kim
      Pages 115-127
    3. Validation and Inference of Schema-Level Workflow Data-Dependency Annotations
      Shawn Bowers, Timothy McPhillips, Bertram Ludäscher
      Pages 128-141

  6. Applications

    1. Front Matter
      Pages 143-143
      PDF
    2. Belief Propagation Through Provenance Graphs
      Belfrit Victor Batlajery, Mark Weal, Adriane Chapman, Luc Moreau
      Pages 145-157
    3. Using Provenance to Efficiently Propagate SPARQL Updates on RDF Source Graphs
      Iman Naja, Nicholas Gibbins
      Pages 158-170

  7. System Demonstrations

    1. Front Matter
      Pages 171-171
      PDF
    2. Implementing Data Provenance in Health Data Analytics Software
      Shen Xu, Elliot Fairweather, Toby Rogers, Vasa Curcin
      Pages 173-176
    3. Quine: A Temporal Graph System for Provenance Storage and Analysis
      Ryan Wright
      Pages 177-180

  8. Joint IPAW/TaPP Poster Session

    1. Front Matter
      Pages 181-181
      PDF
    2. Capturing Provenance for Runtime Data Analysis in Computational Science and Engineering Applications
      Vítor Silva, Renan Souza, Jose Camata, Daniel de Oliveira, Patrick Valduriez, Alvaro L. G. A. Coutinho et al.
      Pages 183-187
    3. UniProv - Provenance Management for UNICORE Workflows in HPC Environments
      André Giesler, Myriam Czekala, Björn Hagemeier
      Pages 188-191
    4. Towards a PROV Ontology for Simulation Models
      Andreas Ruscheinski, Dragana Gjorgevikj, Marcus Dombrowsky, Kai Budde, Adelinde M. Uhrmacher
      Pages 192-195
    5. Capturing the Provenance of Internet of Things Deployments
      David Corsar, Milan Markovic, Peter Edwards
      Pages 196-199
    6. Towards Transparency of IoT Message Brokers
      Milan Markovic, David Corsar, Waqar Asif, Peter Edwards, Muttukrishnan Rajarajan
      Pages 200-203
    7. Provenance-Based Root Cause Analysis for Revenue Leakage Detection: A Telecommunication Case Study
      Wisam Abbasi, Adel Taweel
      Pages 204-207
    8. Case Base Reasoning Decision Support Using the DecPROV Ontology for Decision Modelling
      Nicholas J. Car
      Pages 208-211
    9. Bottleneck Patterns in Provenance
      Sara Boutamina, James D. A. Millington, Simon Miles
      Pages 212-216
    10. Architecture for Template-Driven Provenance Recording
      Elliot Fairweather, Pinar Alper, Talya Porat, Vasa Curcin
      Pages 217-221
    11. Combining Provenance Management and Schema Evolution
      Tanja Auge, Andreas Heuer
      Pages 222-225
    12. Provenance for Entity Resolution
      Sarah Oppold, Melanie Herschel
      Pages 226-230
    13. Where Provenance in Database Storage
      Alexander Rasin, Tanu Malik, James Wagner, Caleb Kim
      Pages 231-235
    14. Streaming Provenance Compression
      Raza Ahmad, Melanie Bru, Ashish Gehani
      Pages 236-240
    15. Structural Analysis of Whole-System Provenance Graphs
      Jyothish Soman, Thomas Bytheway, Lucian Carata, Nikilesh D. Balakrishnan, Ripduman Sohan, Robert N. M. Watson
      Pages 241-244
    16. A Graph Testing Framework for Provenance Network Analytics
      Bernard Roper, Adriane Chapman, David Martin, Jeremy Morley
      Pages 245-251
    17. Provenance for Astrophysical Data
      Anastasia Galkin, Kristin Riebe, Ole Streicher, Francois Bonnarel, Mireille Louys, Michèle Sanguillon et al.
      Pages 252-256
    18. Data Provenance in Agriculture
      Sérgio Manuel Serra da Cruz, Marcos Bacis Ceddia, Renan Carvalho Tàvora Miranda, Gabriel Rizzo, Filipe Klinger, Renato Cerceau et al.
      Pages 257-261
    19. Extracting Provenance Metadata from Privacy Policies
      Harshvardhan Jitendra Pandit, Declan O’Sullivan, Dave Lewis
      Pages 262-265
    20. Provenance-Enabled Stewardship of Human Data in the GDPR Era
      Pinar Alper, Regina Becker, Venkata Satagopam, Christophe Trefois, Valentin Grouès, Jacek Lebioda et al.
      Pages 266-269
  9. Back Matter
    Pages 271-272
    PDF

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