A Declarative Approach for Information Visualization
Abstract
Information Visualization investigates the use of visual and interactive information representations with the aim of reducing users’ cognitive overhead as they analyze information. The objective of this work is to investigate mechanisms that allow presenting a large amount of information in Web-based platforms. We have built the iVIEW infrastructure that: (a) defines a declarative language based on XML Schema specifying a SVG-based visualization layout for information contained in XML documents; and (b) describes algorithms that execute the necessary steps to obtain a graphic representation of the information, implemented using XSLT. In this paper we describe the information elements and the visualization structures of iVIEW along with user-interaction resources. We also show the necessary steps for obtaining a graphic representation of the information using SVG.
Keywords:
Information visualization, XML-based language definition and processing, SVG
References
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Card, S. K., Mackinlay, J. D., and Shneiderman, B. (1999). Readings in Information Visualization: Using Vision to Think. Morgan Kaufmann Publishers.
Christel, M. G., Maher, B., and Begun, A. (2001). XSLT for tailored access to a digital video library. In 1st. ACM/IEEE-CS joint conference on Digital libraries, pages 290–299.
Hibino, S. and Rundensteiner, E. A. (1996). MMVIS: A MultiMedia Visual Information Seeking Environment for Video Analysis. In Proc. ACM Multimedia’96 Conference, pages 15–16.
North, C., Conklin, N., and Saini, V. (2002). Visualization Schemas for Flexible Information Visualization. In Proc. IEEE InfoVis 2002 Symposium, pages 15–22.
Polys, N. F. (2003). Stylesheet transformations for interactive visualization: towards a Web3D chemistry curricula. In Proc. 8th. International Conf. on 3D web technology, pages 85–90.
Southard, J. (2001). XML Grove. [link].
W3C (2003). World Wide Web Consortium, Scalable Vector Graphics (SVG) 1.1 Recommendation. [link].
Weber, A., Kienle, H. M., and Müller, H. A. (2002). Live documents with contextual, data-driven information components. In Proc. 20th annual international conference on Computer documentation, pages 236–247.
Published
2004-07-31
How to Cite
OSHIRO, Adriane Kaori; ANDRADE, Andrea Rodrigues de; PIMENTEL, Maria da Graça.
A Declarative Approach for Information Visualization. In: BRAZILIAN SYMPOSIUM IN INFORMATION AND HUMAN LANGUAGE TECHNOLOGY (STIL), 2. , 2004, Salvador/BA.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2004
.
p. 153-162.
