Visual exploration and analysis of provenance data

SFB/Transregio 161 Project D03

Project description

The research conducted in this project focused on leveraging provenance for quantitative visual data exploration and visually exploring large volumes of provenance data. Further details are available on the website of the overarching Collaborative Research on Quantitative Methods for Visual Computing (SFB-TRR 161). 

SFB-TRR 161 project website

Duration

2014 - 2019

Funding

DFG - SFB/Transregio 161 Teilprojekt D03

Publications

  1. Ben Lahmar, H., & Herschel, M. (2021). Collaborative filtering over evolution provenance data for interactive visual data exploration. Information Systems, 95, 101620. https://doi.org/10.1016/j.is.2020.101620
  2. Ben Lahmar, H., & Herschel, M. (2019). Structural summaries for visual provenance analysis. Proceedings of the International Workshop on Theory and Practice of Provenance (TaPP). https://www.usenix.org/conference/tapp2019/presentation/lahmar
  3. Ben Lahmar, H., & Herschel, M. (2019). Towards Integrating Collaborative Filtering in Visual Data Exploration Systems. New Trends in Databases and Information Systems, (ADBIS) 2019 Short Papers, Workshops BBIGAP, QAUCA, SemBDM, SIMPDA, M2P, MADEISD, and Doctoral Consortium, 153--160. https://doi.org/10.1007/978-3-030-30278-8\_19
  4. Bruder, V., Ben Lahmar, H., Hlawatsch, M., Frey, S., Burch, M., Weiskopf, D., Herschel, M., & Ertl, T. (2019). Volume-based large dynamic graph analysis supported by evolution provenance. Multimedia Tools and Applications, 78(23), 32939–32965. https://doi.org/10.1007/s11042-019-07878-6
  5. Diestelkämper, R., & Herschel, M. (2019). Capturing and Querying Structural Provenance in Spark with Pebble. In ACM International Conference on Management of Data (SIGMOD), 1893–1896. https://doi.org/10.1145/3299869.3320225
  6. Schulz, C., Zeyfang, A., van Garderen, M., Ben Lahmar, H., Herschel, M., & Weiskopf, D. (2018). Simultaneous Visual Analysis of Multiple Software Hierarchies. Proceedings of the IEEE Working Conference on Software Visualization (VISSOFT), 87–95. https://doi.org/10.1109/VISSOFT.2018.00017
  7. Ben Lahmar, H., Herschel, M., Blumenschein, M., & Keim, D. A. (2018). Provenance-Based Visual Data Exploration with EVLIN. Proceedings of International Conference on Extending Database Technology (EDBT), 686--689. https://doi.org/10.5441/002/edbt.2018.85
  8. Herschel, M., Diestelkämper, R., & Ben Lahmar, H. (2017). A survey on provenance: What for? What form? What from? The VLDB Journal, 26(6), 881–906. https://doi.org/10.1007/s00778-017-0486-1
  9. Ben Lahmar, H., & Herschel, M. (2017). Provenance-based Recommendations for Visual Data Exploration. International Workshop on the Theory and Practice of Provenance (TAPP). https://www.usenix.org/conference/tapp17/workshop-program/presentation/lahmar
  10. Herschel, M., & Hlawatsch, M. (2016). Provenance: On and Behind the Screens. Proceedings of the ACM International Conference on the Management of Data (SIGMOD), 2213–2217. https://doi.org/10.1145/2882903.2912568
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