Program

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All events will be held in Bren Hall room 1424.

Tuesday 19 June

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


14:45–15:15 - Coffee


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

Wednesday 20 June

0830–0900 - Welcome


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

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

10:15–10:45 - Coffee


10:45–12:00 - Session 2: Web

  • Functional Requirements for Information Resource Provenance on the Web
    • Jim Mccusker, Timothy Lebo, Alvaro Graves, Dominic Difranzo, Paulo Pinheiro and Deborah L. Mcguinness.
  • A PROV encoding for provenance analysis using deductive rules
    • Paolo Missier and Khalid Belhajjame.
  • Deriving Abstractive Provenance
    • Timothy Lebo, Ping Wang, Alvaro Graves and Deborah L. Mcguinness.

12:00–13:30 - Lunch


13:30–14:45 - Session 3: Deriving Provenance

  • Automatic Discovery of High-Level Provenance using Semantic Similarity
    • Tom De Nies, Sam Coppens, Davy Van Deursen, Erik Mannens and Rik Van de Walle.
  • Transparent Provenance Derivation for User Decisions
    • Ingrid Nunes, Yuhui Chen, Simon Miles, Michael Luck and Carlos Lucena.
  • Declarative Rules for Inferring Fine-Grained Data Provenance from Scientific Workflow Execution Traces
    • Shawn Bowers, Timothy McPhillips and Bertram Ludaescher.

14:45–15:15 - Coffee


15:15–16:30 - 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
    • 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
    • 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


13:30–14:15 - Session 6: Networks

  • Modelling Provenance using Structured Occurrence Networks
    • Paolo Missier, Brian Randell and Maciej Koutny.
  • Network Analysis on Provenance Graphs from a Crowdsourcing Application
    • Mark Ebden, Trung Dong Huynh, Luc Moreau, Sarvapali Ramchurn and Stephen Roberts.

14:15–14:45 - Related activities updates

  • (TBD)

14:45–15:15 - Coffee


15:15–16:30 - Wrap-up