Abstract
Web visualization dashboards are popular. We propose a system called RAIV that can capture and archive web visualizations into self-contained objects. RAIV also uses a client-server architecture to host and manage archived objects as online galleries, which users can use a standard web browser to experience without needing to install any additional software. RAIV supports intelligent search as well. When a search target has been found, RAIV can show the interaction path required to reach that target. We demonstrate RAIV's capability using a genomics web visualization system called KnowEnG from NCSA and publicly available census data visualizations from US Census.
| Original language | English |
|---|---|
| Article number | 362 |
| Journal | IS and T International Symposium on Electronic Imaging Science and Technology |
| Volume | 36 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2024 |
| Externally published | Yes |
| Event | IS and T International Symposium on Electronic Imaging 2024: Visualization and Data Analysis, VDA 2024 - San Francisco, United States Duration: Jan 21 2024 → Jan 25 2024 |
Funding
The authors would like to thank the anonymous reviewers of this and previous versions of the manuscript for their valuable comments and suggestions. The authors are supported in part by NSF Award IIS-2209767 and CCRI-1925615.