VIZGR - Combining Data on a Visual Level

Daniel Hienert, Benjamin Zapilko, Philipp Schaer, Brigitte Mathiak


In this paper we present a novel method to connect data on the visualization level. In general, visualizations are a dead end, when it comes to reusability. Yet, users prefer to work with visualizations as evidenced by WYSIWYG editors. To enable users to work with their data in a way that is intuitive to them, we have created Vizgr. offers basic visualization methods, like graphs, tag clouds, maps and time lines. But unlike normal data visualizations, these can be re-used, connected to each other and to web sites. We offer a simple opportunity to combine diverse data structures, such as geo-locations and networks, with each other by a mouse click. In an evaluation, we found that over 85 % of the participants were able to use and understand this technology without any training or explicit instructions.


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Paper Citation

in Harvard Style

Hienert D., Zapilko B., Schaer P. and Mathiak B. (2011). VIZGR - Combining Data on a Visual Level . In Proceedings of the 7th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-8425-51-5, pages 202-211. DOI: 10.5220/0003299902020211

in Bibtex Style

author={Daniel Hienert and Benjamin Zapilko and Philipp Schaer and Brigitte Mathiak},
title={VIZGR - Combining Data on a Visual Level},
booktitle={Proceedings of the 7th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},

in EndNote Style

JO - Proceedings of the 7th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - VIZGR - Combining Data on a Visual Level
SN - 978-989-8425-51-5
AU - Hienert D.
AU - Zapilko B.
AU - Schaer P.
AU - Mathiak B.
PY - 2011
SP - 202
EP - 211
DO - 10.5220/0003299902020211