Engineering open data visualizations over the web

被引:1
作者
Morales-Chaparro, Rober [1 ]
Sánchez-Figueroa, Fernando [1 ]
Preciado, Juan Carlos [1 ]
机构
[1] Quercus Software Engineering Group, University of Extremadura
来源
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2014年 / 8683卷
关键词
Data visualization; Domain specific language; Open data; Software engineering;
D O I
10.1007/978-3-319-10831-5_7
中图分类号
学科分类号
摘要
Data Visualization has been traditionally one of the main pillars for understanding the information coming from Business Intelligence/Analytics based systems. While building visualizations has never been an easy task, moving data visualization for open data over the Web adds extra complexity. The variety of data sources, devices and users, together with the multidimensional nature of data and the continuous evolution of user requirements makes Data Visualization on the Web for open data more complicated as well as challenging. This paper briefly introduces a DSL for engineering open data visualizations over the Web whose aim is twofold. On the one hand, overcoming technological dependencies such as data source, data set, rendering technologies and so on. On the other hand, bringing the possibility of building useful graphics to users with domain expertise but non-technical skills. © Springer International Publishing Switzerland 2014.
引用
收藏
页码:51 / 59
页数:8
相关论文
共 8 条
[1]  
Michael G., Brooks, (2008)
[2]  
Simon P., The Visual Organization: Data Visualization, (2014)
[3]  
Morales-Chapairo R., Carlos Preciado J., Sanchez-Figueroa F., Visualizing Search Results: Līngineering Visual Patterns Development for the Web, Search Computing, 7538, pp. 127-142, (2012)
[4]  
Fowler M., Domain Specific Languages, 1, (2010)
[5]  
Approaches to Visualising Linked Data: A Survey
[6]  
Cottam J.A., Design and implementation of a stream-based visualization language, (2011)
[7]  
Clarkson E., Desai K., Foley J., ResultMaps: Visualization for search interfaces, IEEE Transactions on Visualization and Computer Graphics, 15, 6, pp. 1057-1064, (2009)
[8]  
Bozzon A., Brambilla M., Catarci T., Ceri S., Fraternali P., Matera M., Visualization of Multi-domain Ranked Data, Search Computing II. LNCS, 6585, pp. 53-69, (2011)