TaPP

The Theory and Practice of Provenance (TaPP) workshop series was started in San Francisco in 2009 (see previous proceedings). TaPP aims to be a venue for early-stage and innovative research ideas related to provenance, and a forum to encourage exchange of ideas between researchers working on provenance and practitioners or potential users of such research. Industry and academic participants interested in provenance in any setting are welcome, and workshop contributions describing unsolved problems or new potential application areas for provenance research are particularly welcome. The 2021 proceedings can be found at https://www.usenix.org/conference/tapp2021.

Organizers

• Tanu Malik (DePaul University, USA)

• Thomas Pasquier (University of Bristol, UK)

Accepted Papers

2021

• Provenance expressiveness benchmarking on non-deterministic executions (Sheung Chi Chan, James Cheney, Pramod Bhatotia)

• A declarative query language for Data Provenance (Argyro Avgoustaki, Giorgos Flouris, Dimitris Plexousakis)

• Observed vs Possible Provenance (Tom Blount, Adriane Chapman, Michael Johnson, Bertram Ludascher)

• GitLab2PROV—Provenance of Software Projects hosted on GitLab (Andreas Schreiber, Claas de Boer, Lynn von Kurnatowski)

• Detailed Provenance Metadata from Statistical Analysis Software (George Alter, Jack Gager, Pascal Heus, Carson Hunter, Sanda Ionescu, Jeremy Iverson, H V Jagadish, Jared Lyle, Alexander Mueller, Sigve Nordgaard, Ørnulf Risnes, Dan Smith, Jie Song, Bertram Ludaescher, Timothy McPhillips, Thomas Thelen.)

• Provenance-integrated parameter selection and optimization in numerical simulations (Julia Kühnert, Dominik Göddeke, Melanie Herschel)

• Astronomical Pipeline Provenance: A Use Case Evaluation (Michael Johnson, Kristen Lackeos, Hans-Rainer Klöckner, Sirko Schindler, Marcus Paradies, David Champion, Marta Dembska)

• Using Provenance to Evaluate Risk and Benefit of Data Sharing (Taeho Jung, Seokki Lee, Wenyi Tang)

• Practical Provenance Privacy Protection (Ashish Gehani, Raza Ahmad, Hassaan Irshad)

2020

• An Event-based Data Model for Granular Information Flow Tracking (Joud Khoury (Raytheon BBN Technologies), Timothy Upthegrove (Raytheon BBN Technologies), Armando Caro (Raytheon BBN Technologies), Brett Benyo (Raytheon BBN Technologies), Derrick Kong (Raytheon BBN Technologies)) pdf: TBD

• Integrity checking and abnormality detection of provenance records (Sheung Chi Chan (University of Edinburgh), James Cheney (University of Edinburgh), Ashish Gehani (SRI International), Hassaan Irshad (SRI International)) pdf: TBD

• A first-principles algebraic approach to data transformations in data cleaning: understanding provenance from the ground up (Santiago Núñez-Corrales (iSchool and NCSA, UIUC), Lan Li (iSchool, UIUC), Bertram Ludäscher (iSchool and NCSA, UIUC)) pdf: TBD

• Data Provenance for Attributes: Attribute Lineage (Dennis Dosso (University of Padua), Susan B. Davidson (University of Pennsylvania), Gianmaria Silvello (University of Padua)) pdf: TBD

• Discrepancy Detection in Whole Network Provenance (Raza Ahmad (SRI International), Eunjin Jung (University of San Francisco), Carolina de Senne Garcia (Ecole Polytechnique), Hassaan Irshad (SRI International), Ashish Gehani (SRI International)) pdf: TBD

• Efficient Provenance Alignment in Reproduced Executions (Tanu Malik (DePaul University), Yuta Nakamura (DePaul University), Ashish Gehani (SRI International)) pdf: TBD

• A Generic Explainability Framework for Function Circuits (Sylvain Hallé (Université du Québec à Chicoutimi), Hugo Tremblay (Université du Québec à Chicoutimi)) pdf: TBD

• Provenance-Based Interpretation of Multi-Agent Information Analysis (Scott Friedman (SIFT), Jeff Rye (SIFT), David LaVergne (SIFT), Dan Thomsen (SIFT), Matthew Allen (Raytheon BBN Technologies), Kyle Tunis (Raytheon BBN Technologies)) pdf: TBD

Program Committee

• Peter Alvaro (University of California, Santa Cruz)

• Belfrit Batlajery (University of Exter, UK)

• Elisa Bertino (Purdue University, USA)

• Khalid Belhajjame (Paris-Dauphine University, France)

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

• Ashish Gehani (SRI, USA)

• Muhammad Ali Gulzar (Virginia Tech, USA)

• Zhen Huang (DePaul University, USA)

• Kangkook Jee (University of Dallas, USA)

• Michael Johnson (University of Southampton, UK)

• Qing Liu (CSIRO, Australia)

• Stefan Leue (Universität Konstanz, Germany)

• Roly Perera (The Alan Turing Institute, UK)

• Lukas Rupprech (IBM, USA)

• Marta Mattoso (COPPE- Federal Univ Rio de Janeiro, Brazil)

• Xiao Yu (NEC Laboratories America, USA)

• Yulai Xie (Huazhong University of Science and Technology, China)