IPAW

The International Provenance and Annotation Workshop (IPAW) is a biannual workshop that is concerned with issues of data provenance, data derivation, and data annotation. It brings together computer scientists from different areas and provenance users to discuss open problems related to the provenance of computation and non-computational artifacts.

The proceedings for IPAW have been published by Springer since 2008. You can find them here: https://link.springer.com/conference/ipaw.

Organizers

• Vanessa Braganholo (Universidade Federal Fluminense, Brazil) - PC Chair

Accepted Papers

2021 IPAW papers will be published together with 2020 papers in the 2021 Springer proceedings. For now preprints of accepted papers, if provided by the authors, are linked below.

2021

• A Delayed Instantiation Approach to Template-driven Provenance for Electronic Health Record Phenotyping (Elliot Fairweather, Martin Chapman, Vasa Curcin)

• Provenance Supporting Hyperparameter Analysis in Deep Neural Networks (Débora Pina, Liliane Kunstmann, Daniel de Oliveira, Patrick Valduriez, Marta Mattoso)

• Evidence Graphs: Supporting Transparent and FAIR Computation, with Defeasible Reasoning on Data, Methods and Results (Sadnan Al Manir, Justin Niestroy, Maxwell Levinson, Timothy Clark)

• Proactive Provenance Policies for Automatic Cryptographic Data Centric Security (Shamaria Engram, Tyler Kaczmarek, Alice Lee, David Bigelow)

• Provenance-based Security Audits and its Application to COVID-19 Contact Tracing Apps (Andreas Schreiber, Tim Sonnekalb, Thomas Heinze, Lynn von Kurnatowski, Jesus M. Gonzalez-Barahona, Heather Packer)

• Notebook Archaeology: Inferring Provenance from Computational Notebooks (David Koop)

• A Model and System for Querying Provenance from Data Cleaning Workflows (Nikolaus N. Parulian, Bertram Ludaescher, Timothy McPhillips)

2020

• The PROV-JSONLD Serialization (Luc Moreau, Trung Dong Huynh)

• Non-repudiable Provenance for Clinical Decision Support Systems (Elliot Fairweather, Rudolf Wittner, Martin Chapman, Petr Holub, Vasa Curcin)

• Efficient Computation of Provenance for Query Result Exploration (Murali Mani, Naveenkumar Singaraj, Zhenyan Liu)

• Incremental Inference of Provenance Types (David Kohan Marzago, Trung Dong Huynh, Luc Moreau)

Program Committee

• Andreas Schreiber (German Aerospace Center (DLR), Germany)

• Adriane Chapman (University of Southampton, UK)

• Bertram Ludascher (University of Illinois at Urbana-Champaign, USA)

• Cláudia Bauzer Medeiros (UNICAMP, Brazil)

• Daniel de Oliveira (Fluminense Federal University, Brazil)

• Daniel Garijo (University of Southern California, USA)

• David Corsar (Robert Gordon University, UK)

• Eduardo Ogasawara (CEFET, Brazil)

• Grigoris Karvounarakis (LogicBlox, USA)

• Hala Skaf-Molli (Nantes University, France)

• Jacek Cala (Newcastle University, UK)

• James Cheney (University of Edinburgh, UK)

• James McCusker (Rensselaer Polytechnic Institute, USA)

• James Myers (University of Michigan, USA)

• Jan Van Den Bussche (Universiteit Hasselt, Belgium)

• João Felipe Nicolaci Pimentel (Fluminense Federal University, Brazil)

• Luc Moreau (King’s College London, UK)

• Luiz M. R. Gadelha Jr. (LNCC, Brazil)

• Marta Mattoso (Universidade Federal do Rio de Janeiro, Brazil)

• Paolo Missier (Newcastle University, UK)

• Paul Groth (University of Amsterdam, Netherlands)

• Pinar Alper (Luxembourg Centre for Systems Biomedicine, Luxembourg)

• Seokki Lee (University of Cincinnati, USA)

• Timothy Clark (University of Virginia, USA)

• Vasa Curcin (King’s College London, UK)