Open Data Visualization: Keeping Traces of the Exploration Process

Open Data Visualization: Keeping Traces of the Exploration Process by Benoît Otjacques, Mickaël Stefas, Maël Cornil, and Fernand Feltz.


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).

I was unaware of this paper when I wrote my “knowledge toilet” post earlier today. This looks like an interesting starting point for discussion.

Just speculating but I think there will be a “sweet spot” for how much effort users will devote to recording their input. For some purposes it will need to be almost automatic. Like the relationship between search terms and links users choose. Crude but somewhat effective.

On the other hand, there will be professional researchers/authors who want to sell their semantic annotations/mappings of resources.

And applications/use cases in between.

One Response to “Open Data Visualization: Keeping Traces of the Exploration Process”

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