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All events will be held in Bren Hall room 1424.


  • Drivers:
    • Please notify your hotel's front desk if you can give your fellow attendees rides to/from IPAW, so they can tell anyone looking for a ride to contact you.
    • Remember to park on the top floor of Lot 10
  • Authors:
    • If you've posted an "author's copy" of your paper online, them please send a link to it, so we can include it in the program.
    • We would also appreciate a copy of or link to your presentation slides, if you don't mind us posting them.

Tuesday 19 June

13:00–14:45 - W3C PROV tutorial, part 1

  • Introduction to Provenance and Setting the Scene
    • Yolanda Gil
  • The Basics
    • Paul Groth
  • PROV Data Model (slides)
    • Luc Moreau

14:45–15:15 - Coffee

15:15–17:00 - W3C PROV tutorial, part 2

  • PROV-O (slides)
    • Tim Lebo
    • Paul Groth
  • Constraints (slides)
    • Luc Moreau

Wednesday 20 June

0830–0900 - Welcome (slides)

09:00–10:15 - Session 1: Documents & Databases

  • SourceTrac: Tracing Data Sources within Spreadsheets (paper)
    • Hazeline Asuncion.
  • DEEP: A Provenance-Aware Executable Document System (paper)
    • Huanjia Yang, Danius Michaelides, Chris Charlton, William Browne and Luc Moreau.
  • Towards Integrating Workflow and Database Provenance: A Practical Approach (paper) (slides)
    • Fernando Chirigati and Juliana Freire.

10:15–10:45 - Coffee

10:45–12:00 - Session 2: Web

  • Towards Unified Provenance Granularities (paper) (slides)
    • Timothy Lebo, Ping Wang, Alvaro Graves and Deborah L. McGuinness.
  • A PROV encoding for provenance analysis using deductive rules (paper) (slides)
    • Paolo Missier and Khalid Belhajjame.
  • Functional Requirements for Information Resource Provenance on the Web (paper) (slides)
    • Jim McCusker, Timothy Lebo, Alvaro Graves, Dominic Difranzo, Paulo Pinheiro and Deborah L. McGuinness.

12:00–13:30 - Lunch

13:30–14:20 - Session 3: Deriving Provenance

  • Automatic Discovery of High-Level Provenance using Semantic Similarity (paper)
    • Tom De Nies, Sam Coppens, Davy Van Deursen, Erik Mannens and Rik Van de Walle.
  • Declarative Rules for Inferring Fine-Grained Data Provenance from Scientific Workflow Execution Traces (paper)
    • Shawn Bowers, Timothy McPhillips and Bertram Ludaescher.

14:20–14:50 - Coffee

14:50–16:30 - Session 4: Poster Lightning Talks and Demo Tastes

Poster Lightning talks (2 minutes each)

  • Integrating Text and Graphics to Present Provenance Information
    • Thomas Bouttaz, Alan Eckhardt, Chris Mellish and Peter Edwards.
  • The Provenance Store prOOst for the Open Provenance Model
    • Andreas Schreiber, Miriam Ney and Heinrich Wendel.
  • Access control for OPM provenance graphs
    • Roxana Danger, Robin Joy, John Darlington and Vasa Curcin.
  • Provenance Representation in the Global Change Information System (GCIS)
    • Curt Tilmes.
  • Enabling Re-Executions of Parallel Scientific Workflows Using Runtime Provenance Data
    • Flavio Costa, Daniel Oliveira, Kary Ocaña, Eduardo Ogasawara and Marta Mattoso.
  • Quality Assessment, Provenance, and the Web of Linked Sensor Data
    • Chris Baillie, Peter Edwards and Edoardo Pignotti.
  • Provenance Tracking in R (poster)
    • Andrew Runnalls and Chris Silles
  • A Comprehensive Model for Provenance
    • Salmin Sultana and Elisa Bertino.
  • Exploring Provenance in a Linked Data Ecosystem
    • David Corsar, Peter Edwards, Nagendra Velaga, John Nelson and Jeff Pan.
  • Integrating Provenance into an operational Data Product Information System
    • Stephan Zednik, James Michaelis and Peter Fox
  • On Presenting Apropos Provenance for Situation Awareness and Data Forensics
    • Jing Zhao, Yogesh Simmhan and Viktor Prasanna.
  • Improving the Understanding of Provenance and Reproducibility of a Multi-Sensor Merged Climate Data Record
    • Hook Hua, Brian Wilson, Gerald Manipon, Lei Pan and Eric Fetzer.

Taster Demos (5 minutes each)

  • Designing a Provenance-Based Climate Data Analysis Application (paper)
    • Emanuele Santos, David Koop, Thomas Maxwell, Charles Doutriaux, Tommy Ellqvist, Gerald Potter, Juliana Freire, Dean Williams and Claudio Silva.
  • ourSpaces - A Provenance Enabled Virtual Research Environment
    • Peter Edwards, Chris Mellish, Edoardo Pignotti, Kapila Ponnamperuma, Thomas Bouttaz, Alan Eckhardt, Kate Pangbourne, Lorna Philip and John Farrington.
  • Managing the Provenance of Crowdsourced Disruption Reports
    • Milan Markovic, Peter Edwards, David Corsar and Jeff Z. Pan.
  • SOLE: Linking Research Papers with Scientific Objects
    • Tanu Malik, Quan Pham, Raffaele Montella and Ian Foster.

16:30–18:15 - Posters and Demos

18:30–20:00 - BBQ Dinner at Goleta Beach

Thursday 21 June

09:00–10:15 - Keynote

  • The Provenance Divide (slides)
    • Philip E. Bourne
      • Professor of Pharmacology
        Skaggs School of Pharmacy and Pharmaceutical Sciences
        University of California San Diego
      • Associate Director RCSB Protein Data Bank
      • Co-founder and Editor in Chief PLoS Comp. Biol.
      • Co-founder SciVee Inc.
    • I am involved in maintaining a major biological data resource (the Protein Data Bank), a major biological journal (PLoS Computational Biology), a company concerned with digital media and run a sizable computational biology laboratory. The word "provenance" rarely crosses our lips in any of these contexts, yet we spend considerable time worrying, perhaps naively, about what provenance stands for. This speaks to, in my opinion, a provenance divide - a gap between fundamental provenance research and what is being done in different domains to support provenance. Perhaps we are only now at the point to consider closing this gap? In the meantime we have done a lot to support provenance (albeit by some other name) as well as made a lot of mistakes. I will try and indicate what we have done, what mistakes we have made and what I believe we can learn from each other at this critical juncture.

10:15–10:45 - Coffee

10:45–12:00 - Session 5: Science Applications

  • The Xeros Data Model: Tracking Interpretations of Archaeological Finds (paper)
    • Michael O. Jewell, Enrico Costanza, Tom Frankland, Graeme Earl and Luc Moreau.
  • Using Domain-Specific Data to Enhance Scientific Workflow Steering Queries (paper) (slides)
    • João Carlos De A. R. Gonçalves, Daniel de Oliveira, Eduardo Ogasawara, Kary Ocaña and Marta Mattoso.
  • Detecting Duplicate Records in Scientific Workflow Results (paper)
    • Khalid Belhajjame, Paolo Missier and Carole Goble.

12:00–13:30 - Lunch

13:30–14:45 - Session 6: Networks

  • Modelling Provenance using Structured Occurrence Networks (paper) (slides)
    • Paolo Missier, Brian Randell and Maciej Koutny.
  • Network Analysis on Provenance Graphs from a Crowdsourcing Application (paper)
    • Mark Ebden, Trung Dong Huynh, Luc Moreau, Sarvapali Ramchurn and Stephen Roberts.
  • Transparent Provenance Derivation for User Decisions (paper)
    • Ingrid Nunes, Yuhui Chen, Simon Miles, Michael Luck and Carlos Lucena.

14:45–15:15 - Coffee

15:15–15:45 - Related activities updates

  • TaPP (USENIX Theory and Practice of Provenance)
    • James Cheney
  • SWPM (Semantic Web Provenance Management)
    • Khalid Belhajjame

15:45–16:30 - Wrap-up