Informatik, TU Wien

Advances in the Visualization of Multiple, Heterogeneous Data Sources

As the open data movement grows, more and more data sources become freely accessible online.

Abstract

As the open data movement grows, more and more data sources become freely accessible online. Yet the visualization capabilities to bring various different data sources like these together for an integrated visual analysis still lags behind. This talk will present first results from an ongoing research project that sets out to develop visualization solutions that address this issue.

It will cover the visualization of multiple, heterogeneous data sources on the three levels of the visualization pipeline: the data level, the view level, and the level of interaction. Multiple data sources pose different challenges on each of these levels. On data level, the first question that arises is how to find and select suitable data sets. On view level, we need to investigate how to cope with the heterogeneity of visualization techniques that arises from the heterogeneity of the selected data sources.

And on interaction level, we want to know how we can provide effective inter-view and intra-view guidance to support the users in navigating the possibly large number of shown visualizations and the data depicted therein. This talk aims to give first answers to these questions by presenting concrete visualization solutions that we developed in their context.

Biography

Hans-Jörg Schulz received his diploma (2004) and doctorate degree (2010) from the University of Rostock, where he is currently working as a postdoctoral researcher in Information Visualization and Visual Analytics. Besides the visualization of multiple, heterogeneous data sources, his research interests include graph visualization, visualization design spaces, and visualization for the biomedical application domain. 

Note

This lecture is organized by the Information and Software Engineering Group at the Institute of Software Technology and Interactive Systems.