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Provenance and Annotation of Data and Processes

8th and 9th International Provenance and Annotation Workshop, IPAW 2020 + IPAW 2021, Virtual Event, July 19–22, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Boris Glavic

    1. Illinois Institute of Technology, Chicago, USA

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  2. Vanessa Braganholo

    1. Fluminense Federal University, Niterói, Brazil

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    You can also search for this editor in PubMed   Google Scholar

  3. David Koop

    1. Northern Illinois University, DeKalb, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12839)

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 2020. IPAW 2021.

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Table of contents (24 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Provenance Capture and Representation

    1. Front Matter

      Pages 1-1
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    2. A Delayed Instantiation Approach to Template-Driven Provenance for Electronic Health Record Phenotyping

      • Elliot Fairweather, Martin Chapman, Vasa Curcin
      Pages 3-19

    3. Provenance Supporting Hyperparameter Analysis in Deep Neural Networks

      • Débora Pina, Liliane Kunstmann, Daniel de Oliveira, Patrick Valduriez, Marta Mattoso
      Pages 20-38

    4. Evidence Graphs: Supporting Transparent and FAIR Computation, with Defeasible Reasoning on Data, Methods, and Results

      • Sadnan Al Manir, Justin Niestroy, Maxwell Adam Levinson, Timothy Clark
      Pages 39-50

    5. The PROV-JSONLD Serialization

      • Luc Moreau, Trung Dong Huynh
      Pages 51-67

  3. Security

    1. Front Matter

      Pages 69-69
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    2. Proactive Provenance Policies for Automatic Cryptographic Data Centric Security

      • Shamaria Engram, Tyler Kaczmarek, Alice Lee, David Bigelow
      Pages 71-87

    3. Provenance-Based Security Audits and Its Application to COVID-19 Contact Tracing Apps

      • Andreas Schreiber, Tim Sonnekalb, Thomas S. Heinze, Lynn von Kurnatowski, Jesus M. Gonzalez-Barahona, Heather Packer
      Pages 88-105

  4. Provenance Types, Inference, Queries and Summarization

    1. Front Matter

      Pages 107-107
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    2. Notebook Archaeology: Inferring Provenance from Computational Notebooks

      • David Koop
      Pages 109-126

    3. Efficient Computation of Provenance for Query Result Exploration

      • Murali Mani, Naveenkumar Singaraj, Zhenyan Liu
      Pages 127-144

    4. Incremental Inference of Provenance Types

      • David Kohan Marzagão, Trung Dong Huynh, Luc Moreau
      Pages 145-162

  5. Reliability and Trustworthiness

    1. Front Matter

      Pages 163-163
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    2. Non-repudiable Provenance for Clinical Decision Support Systems

      • Elliot Fairweather, Rudolf Wittner, Martin Chapman, Petr Holub, Vasa Curcin
      Pages 165-182

    3. A Model and System for Querying Provenance from Data Cleaning Workflows

      • Nikolaus Nova Parulian, Timothy M. McPhillips, Bertram Ludäscher
      Pages 183-197

  6. Joint IPAW/TaPP Poster and Demonstration Session

    1. Front Matter

      Pages 199-199
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    2. ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of Jupyter Notebooks

      • Sheeba Samuel, Birgitta König-Ries
      Pages 201-206

    3. Mapping Trusted Paths to VGI

      • Bernard Roper, Adriane Chapman, David Martin, Stefano Cavazzi
      Pages 207-210

    4. Querying Data Preparation Modules Using Data Examples

      • Khalid Belhajjame, Mahmoud Barhamgi
      Pages 211-217
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About this book

This book constitutes the proceedings of the 8th and 9th International Provenance and Annotation Workshop, IPAW 2020 and IPAW 2021 which were held as part of ProvenanceWeek in 2020 and 2021. Due to the COVID-19 pandemic, PropvenanceWeek 2020 was held as a 1-day virtual event with brief teaser talks on June 22, 2020. In 2021, the conference was held virtually during July 19-22, 2021. 

The 11 full papers and 12 posters and system demonstrations included in these proceedings were carefully reviewed and selected from a total of 31 submissions. They were organized in the following topical sections: provenance capture and representation; security; provenance types, inference, queries and summarization; reliability and trustworthiness; joint IPAW/TaPP poster and demonstration session. 




Editors and Affiliations

  • Illinois Institute of Technology, Chicago, USA

    Boris Glavic

  • Fluminense Federal University, Niterói, Brazil

    Vanessa Braganholo

  • Northern Illinois University, DeKalb, USA

    David Koop

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