Hierarchical visual filtering pragmatic and epistemic actions for database visualization

Jose Rodrigues, Carlos E Cirilo, Luciana A M Zaina, Antonio F Prado (2013) Hierarchical Visual Filtering, pragmatic and epistemic actions for database visualization In: Proceedings of the ACM Symposium on Applied Computing Edited by:ACM Press. 946-952 ACM Press. @inproceedings { ref35, title = "Hierarchical Visual Filtering, pragmatic and epistemic actions for database visualization", year = "2013", author = "Jose Rodrigues and Carlos E Cirilo and Luciana A M Zaina and Antonio F Prado", booktitle = "Proceedings of the ACM Symposium on Applied Computing", editor = "A C M Press", pages = "946-952", publisher = "ACM Press", doi = "10.1145/2480362.2480545", url = "http://www.icmc.usp.br/~junio/PublishedPapers/RodriguesJr_et_al-ACMSAC2013.pdf", urllink = "http://www.icmc.usp.br/~junio/VisTree/VisTree.htm", abstract = "Visualization techniques of all sorts suffer from visual cluttering, the occlusion of visual information due to the overlap of graphical items, and from excessive complexity in analytical tasks due to multiple parallel perspectives drawn from the data at hand. To cope with these problems, we introduce Hierarchical Visual Filtering, a novel interaction principle that brings pragmatic and epistemic actions to visualization techniques. Pragmatic actions here mean that the analyst is able to visually select and filter information, determining visual configurations that reveal different perspectives of the data; epistemic actions mean that the analyst can record, annotate, and recall intermediate visualizations created over his pragmatic actions. To do so, we use a tree-like structure to keep multiple visualization workspaces linked according to the analytical decisions took by the user. Our goal is to promote an innovative systematization that can augment the potential for database visual inspection, and for visualization systems in general. It is our contention that Hierarchical Visual Filtering can inspire a novel scheme of visualization environments in which space limitations and complexity are treated by means of interactive tasks.", keywords = "Information Visualization, Multiple Views, Visual Data Analysis, Databases, Interactive Filtering, Hierarchical Filtering"}