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7th TaPP 2015: Edinburgh, Scotland, UK
- Paolo Missier, Jun Zhao:
7th USENIX Workshop on the Theory and Practice of Provenance, TaPP 2015, Edinburgh, Scotland, UK, July 8-9, 2015. USENIX Association 2015
Session I: Capture
- Timothy M. McPhillips, Shawn Bowers, Khalid Belhajjame, Bertram Ludäscher:
Retrospective Provenance Without a Runtime Provenance Recorder. - Luc Moreau, Paul Groth:
Provenance of Publications: A PROV Style for LaTeX. - Manolis Stamatogiannakis, Paul Groth, Herbert Bos:
Decoupling Provenance Capture and Analysis from Execution. - David Gammack, Adriane Chapman:
Provenance Tipping Point.
Session II: Query and System
- Amit Chavan, Silu Huang, Amol Deshpande, Aaron J. Elmore, Samuel Madden, Aditya G. Parameswaran:
Towards a Unified Query Language for Provenance and Versioning. - Xing Niu, Boris Glavic, Dieter Gawlick, Zhen Hua Liu, Vasudha Krishnaswamy, Venkatesh Radhakrishnan:
Interoperability for Provenance-aware Databases using PROV and JSON. - Adam Bates, Kevin R. B. Butler, Thomas Moyer:
Take Only What You Need: Leveraging Mandatory Access Control Policy to Reduce Provenance Storage Costs. - Nikilesh Balakrishnan, Thomas Bytheway, Lucian Carata, Oliver R. A. Chick, James Snee, Sherif Akoush, Ripduman Sohan, Margo I. Seltzer, Andy Hopper:
Recent Advances in Computer Architecture: The Opportunities and Challenges for Provenance.
Session III: Scientific Applications
- Daniel de Oliveira, Vítor Silva, Marta Mattoso:
How Much Domain Data Should Be in Provenance Databases? - João Felipe Pimentel, Vanessa Braganholo, Leonardo Murta, Juliana Freire:
Collecting and Analyzing Provenance on Interactive Notebooks: When IPython Meets noWorkflow. - Saumen C. Dey, Khalid Belhajjame, David Koop, Meghan Raul, Bertram Ludäscher:
Linking Prospective and Retrospective Provenance in Scripts.
Session IV: Foundations
- Stefan Fehrenbach, James Cheney:
Language-integrated Provenance in Links. - Boris Glavic, Sven Köhler, Sean Riddle, Bertram Ludäscher:
Towards Constraint-based Explanations for Answers and Non-Answers. - Maxime Debosschere, Floris Geerts:
Cell-based Causality for Data Repairs.
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