Open Data Visualization: Keeping Traces of the Exploration Process
Beno\^it Otjacques, Micka\"el Stefas, Ma\"el Cornil, Fernand Feltz

TL;DR
This paper introduces a system for visual exploration of Open Data that enables users to save, organize, and share their exploration states and scenarios, facilitating investigation continuity and collaboration.
Contribution
It presents a novel visualization system that supports storing and composing exploration viewpoints and scenarios for enhanced data investigation and collaboration.
Findings
Supports multi-session data exploration
Enables sharing of exploration scenarios
Facilitates collaborative data analysis
Abstract
This paper describes a system to support the visual exploration of Open Data. During his/her interactive experience with the graphics, the user can easily store the current complete state of the visualization application (called a viewpoint). Next, he/she can compose sequences of these viewpoints (called scenarios) that can easily be reloaded. This feature allows to keep traces of a former exploration process, which can be useful in single user (to support investigation carried out in multiple sessions) as well as in collaborative setting (to share points of interest identified in the data set).
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Taxonomy
TopicsData Visualization and Analytics · Scientific Computing and Data Management · Semantic Web and Ontologies
