Abstract
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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Michael, G.: Brooks. The Business Case for Advanced Data Visualization (2008)
Simon, P.: The Visual Organization: Data Visualization, Big Data, and the Quest for better quests. Ed. Wiley (2014)
Morales-Chaparro, R., Carlos Preciado, J., Sánchez-Figueroa, F.: Visualizing Search Results: Engineering Visual Patterns Development for the Web. In: Ceri, S., Brambilla, M. (eds.) Search Computing. LNCS, vol. 7538, pp. 127–142. Springer, Heidelberg (2012)
Fowler, M.: Domain Specific Languages, vol. 1. Programming the Memory Heirarchy. Addison-Wesley Professional (2010)
Approaches to Visualising Linked Data: A Survey; Aba-Sah Dadzie and Matthew Rowe, http://www.semantic-web-journal.net/sites/default/files/swj118_1.pdf
Cottam, J.A.: Design and implementation of a stream-based visualization language. PhD thesis (2011)
Clarkson, E., Desai, K., Foley, J.: ResultMaps: visualization for search interfaces. IEEE Transactions on Visualization and Computer Graphics 15(6), 1057–1064 (2009)
Bozzon, A., Brambilla, M., Catarci, T., Ceri, S., Fraternali, P., Matera, M.: Visualization of Multi-domain Ranked Data. In: Ceri, S., Brambilla, M. (eds.) Search Computing II. LNCS, vol. 6585, pp. 53–69. Springer, Heidelberg (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Morales-Chaparro, R., Sánchez-Figueroa, F., Preciado, J.C. (2014). Engineering Open Data Visualizations over the Web. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2014. Lecture Notes in Computer Science, vol 8683. Springer, Cham. https://doi.org/10.1007/978-3-319-10831-5_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-10831-5_7
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10830-8
Online ISBN: 978-3-319-10831-5
eBook Packages: Computer ScienceComputer Science (R0)