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).
Description
Open data visualization keeping traces of the exploration process
%0 Conference Paper
%1 OtjEtAl12
%A Otjacques, Beno\^ıt
%A Stefas, Mickaël
%A Cornil, Maël
%A Feltz, Fernand
%B Proceedings of the First International Workshop on Open Data
%C New York, NY
%D 2012
%I ACM
%K open open-data
%P 53--60
%R 10.1145/2422604.2422612
%T Open Data Visualization: Keeping Traces of the Exploration Process
%U http://doi.acm.org/10.1145/2422604.2422612
%X 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).
%@ 978-1-4503-1404-6
@inproceedings{OtjEtAl12,
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).},
acmid = {2422612},
added-at = {2014-12-08T16:47:11.000+0100},
address = {New York, NY},
author = {Otjacques, Beno\^{\i}t and Stefas, Micka\"{e}l and Cornil, Ma\"{e}l and Feltz, Fernand},
biburl = {https://www.bibsonomy.org/bibtex/27361ca27f0188f257561127ba6929c7a/wiljami74},
booktitle = {Proceedings of the First International Workshop on Open Data},
description = {Open data visualization keeping traces of the exploration process},
doi = {10.1145/2422604.2422612},
interhash = {3d70fae728e4d77699ad3e701fd293d8},
intrahash = {7361ca27f0188f257561127ba6929c7a},
isbn = {978-1-4503-1404-6},
keywords = {open open-data},
location = {Nantes, France},
numpages = {8},
pages = {53--60},
publisher = {ACM},
series = {WOD '12},
timestamp = {2014-12-08T16:47:11.000+0100},
title = {Open Data Visualization: Keeping Traces of the Exploration Process},
url = {http://doi.acm.org/10.1145/2422604.2422612},
year = 2012
}