About

With the growing amount of develop Visual Analytics (VA) solutions in various application scenarios, it becomes increasingly more redundant to always aim for a broad functionality for visualization, interaction, and computational analysis. The idea of this project is therefore to combine and coordinate existing VA tools, rather than developing a new “super-application”. The goal is to investigate general mechanisms for realizing a unified user interface that allows access to data and functions of independent VA tools to be used within a given workflow.

Publications

• Schulz, H. J., Röhlig, M., Nonnemann, L., Aehnelt, M., Diener, H., Urban, B., & Schumann, H. (2019). Lightweight Coordination of Multiple Independent Visual Analytics Tools. In VISIGRAPP (3: IVAPP) (pp. 106-117). DOI 10.5220/0007571101060117
• Schulz, H. J., Röhlig, M., Nonnemann, L., Hogräfer, M., Aehnelt, M., Urban, B., & Schumann, H. (2019, February). A Layered Approach to Lightweight Toolchaining in Visual Analytics. In International Joint Conference on Computer Vision, Imaging and Computer Graphics (pp. 313-337). Springer, Cham. DOI 10.1007/978-3-030-41590-7_13
• Nonnemann, L., Schumann, H., Urban, B., Aehnelt, M., & Schulz, H. J. (2020, September). A Characterization of Data Exchange between Visual Analytics Tools. In 2020 24th International Conference Information Visualisation (IV) (pp. 368-377). IEEE. DOI 10.1109/IV51561.2020.00066

Student Work

• 2019 Bachelor Thesis Michael Zielinski "Coordinated Workflow Management based on Brushing & Linking Mechanismns"
• 2021 Master Thesis Michael Zielinski "Interaction-based Data Exchange between independent Visual Analytics Tools"
• 2021 Master Thesis Conrad Wulf "Interactive Unification of different Parameters through an AI-based Ontology"

Software

• The Analytical Process Constructor (AnyProc) is an application for the configuration and execution of analytical toolchains that include indepent Visual Analytics (VA) tools.