loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Daniel Hienert ; Benjamin Zapilko ; Philipp Schaer and Brigitte Mathiak

Affiliation: GESIS – Leibniz Insitute for the Social Sciences, Germany

ISBN: 978-989-8425-51-5

Keyword(s): Visualization, Web, Linked visualizations, Social software, Social data analysis, Collaboration, Visual analytics.

Related Ontology Subjects/Areas/Topics: Personalized Web Sites and Services ; Searching and Browsing ; Usability and Ergonomics ; Web Geographical Information Systems ; Web Information Systems and Technologies ; Web Interfaces and Applications

Abstract: 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. Vizgr.com 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.

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.225.38.2

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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

@conference{webist11,
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,},
year={2011},
pages={202-211},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003299902020211},
isbn={978-989-8425-51-5},
}

TY - CONF

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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.