Abstract
Proposed as 'data analysis anywhere, anytime, from anything', Opportunistic Information Visualization (Opportu-Vis) [1] seeks to provide analytical support in scenarios where the data of interest is not explicitly available and has to be retrieved from digital artifacts that are not traditionally used as data sources. Examples include raster images, web pages, vector files, and photographs. This showpiece presents how iVoLVER, the Interactive Visual Language for Visualization Extraction and Reconstruction, provides support in such settings. We briefly describe the overall construction approach of the tool in scenarios where different digital artifacts are used to compose interactive visuals. All of this becomes possible by using the data extraction capabilities of iVoLVER together with the elements of its visual language.
| Original language | English |
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| Title of host publication | 2016 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2016 |
| Publisher | IEEE Computer Society |
| Pages | 234-235 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781509002528 |
| DOIs | |
| Publication status | Published - 8 Nov 2016 |
| Event | IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2016 - St Catharine's College, University of Cambridge, Cambridge, United Kingdom Duration: 4 Sept 2016 → 8 Sept 2016 https://sites.google.com/site/vlhcc2016/home |
Conference
| Conference | IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2016 |
|---|---|
| Abbreviated title | VL/HCC |
| Country/Territory | United Kingdom |
| City | Cambridge |
| Period | 4/09/16 → 8/09/16 |
| Internet address |