ACM SIGMOD City, Country, Year
sigmod pods logo

Provenance: On and Behind the Screens [Tutorial 6]

FRIDAY, July 1, 2016 (8:30am - 10:00am)

Abstract: Collecting and processing provenance, i.e., information describing the production process of some end product, is important in various applications, e.g., to assess quality, to ensure reproducibility, or to reinforce trust in the end product. In the past, different types of provenance meta-data have been proposed, each with a different scope. The first part of the proposed tutorial provides an overview and comparison of these different types of provenance.

To put provenance to good use, it is essential to be able to interact with and present provenance data in a user-friendly way. Often, users interested in provenance are not necessarily experts in databases or query languages, as they are typically domain experts of the product and production process for which provenance is collected (biologists, journalists, etc.). Furthermore, in some scenarios, it is difficult to use solely queries for analyzing and exploring provenance data. The second part of this tutorial therefore focuses on enabling users to leverage provenance through adapted visualizations. To this end, we will present some fundamental concepts of visualization before we discuss possible visualizations for provenance.

URL for the Slides:


Melanie Herschel is a professor at the University of Stuttgart. Her primary research interests include provenance, data integration, entity resolution, and data engineering. Currently, she is a primary investigator within the Collaborative Research Center ``Quantitative Methods for Visual Computing'' (SFB-TRR 161), where she explores synergies between visualization and provenance. She is also the leading scientist of the Nautilus project, leveraging provenance for query debugging and semi-automatic fixing. Recently, she has been an area chair at ICDE 2015 and the publicity chair of SIGMOD 2016.

Marcel Hlawatsch has a PhD in computer science and works at the Visualization Research Center of the University of Stuttgart (VISUS), Germany, as a research associate. His research topics cover, amongst others, the visualization of provenance data, (dynamic) graphs, and eye tracking data. He is also the manager of the Collaborative Research Center "Quantitative Methods for Visual Computing" (SFB-TRR 161) at the University of Stuttgart funded by the German research foundation DFG.

Follow our progress: FacebookTwitter