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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

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Khalid Belhajjame

    1. Paris Dauphine University, Paris, France

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  2. Ashish Gehani

    1. SRI International, Menlo Park, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Pinar Alper

    1. University of Luxembourg, Belvaux, Luxembourg

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

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: IPAW 2018.

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Table of contents (33 papers)

  1. Front Matter

    Pages I-X
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  2. Reproducibility

    1. Front Matter

      Pages 1-1
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    2. Provenance Annotation and Analysis to Support Process Re-computation

      • Jacek CaÅ‚a, 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
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    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
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    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
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    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
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    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
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    2. Implementing Data Provenance in Health Data Analytics Software

      • Shen Xu, Elliot Fairweather, Toby Rogers, Vasa Curcin
      Pages 173-176
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  1. Provenance and Annotation of Data and Processes

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About this book

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.

Editors and Affiliations

  • Paris Dauphine University, Paris, France

    Khalid Belhajjame

  • SRI International, Menlo Park, USA

    Ashish Gehani

  • University of Luxembourg, Belvaux, Luxembourg

    Pinar Alper

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