Opportunistic visualization with iVoLVER
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.
Citation
Méndez , G G & Nacenta , M A 2016 , Opportunistic visualization with iVoLVER . in 2016 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2016 . , 7739693 , IEEE Computer Society , pp. 234-235 , IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2016 , Cambridge , United Kingdom , 4/09/16 . https://doi.org/10.1109/VLHCC.2016.7739693 conference
Publication
2016 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2016
Type
Conference item
Rights
© 2016, IEEE. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at ieeexplore.ieee.org / https://doi.org/10.1109/VLHCC.2016.7739693
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