Dataspace: an automated visualization system for large databases

Eric D. Petajan; Yves D. Jean; Dan Lieuwen; Vinod Anupam

doi:10.1117/12.270326

9 April 1997 Dataspace: an automated visualization system for large databases

Eric D. Petajan, Yves D. Jean, Dan Lieuwen, Vinod Anupam

Proceedings Volume 3017, Visual Data Exploration and Analysis IV; (1997) https://doi.org/10.1117/12.270326
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

Abstract

DataSpace is a multi-platform software system for easily visualizing relational databases using a set of flexible 3D graphics tools. Typically, five attributes are selected for a given visualization session where two of the attributes are used to generate 2D plots and the other three attributes are used to position the 2D plots in a regular 3D lattice. Mouse-based 3D navigation with constraints allows the user to see the 'forest and the trees' without getting 'lost in space'. DataSpace uses the Standard Query Language to allow connection popular database systems. DataSpace also incorporates a variety of additional tools e.g., aggregation, data 'drill down', multidimensional scaling, variable transparency, query by example, and display of graphics from external applications. Labeling of node contents is automatic. 3D strokefonts are used to provide readable yet scalable text in a 3D environment. Since interactive 3D navigation is essential to DataSpace, we have incorporated several methods for adaptively reducing graphical detail without losing information when the host machine is overloaded. DataSpace has been sued to visualized databases containing over 1 million records with interactive performance. In particular, large databases containing stock price information and telecommunications customer profiles have been analyzed using DataSpace.

Citation Download Citation

Eric D. Petajan, Yves D. Jean, Dan Lieuwen, and Vinod Anupam "Dataspace: an automated visualization system for large databases", Proc. SPIE 3017, Visual Data Exploration and Analysis IV, (9 April 1997); https://doi.org/10.1117/12.270326

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