Database Visualization

Prof. Isabel F. Cruz
Department of Electrical Engineering and Computer Science
Tufts University

Tuesday, April 9, 1996
11:00 a.m. - 12 noon
Fuller Labs 320

New technologies such as multimedia, digital libraries, and electronic publishing require large databases and powerful query languages. We describe a unified approach for filtering and visualizing information stored in an object-oriented database, which is based on the visual meta-query language DOODLE. DOODLE supports constraints for specifying a variety of complex displays, such as graphs, bar charts, and temporal diagrams, using a small set of primitives. The strengths of our approach include its formal basis, the expressiveness of the query language, and the overall flexibility and extensibility of the framework. We also present applications of DOODLE to graph visualization and to multimedia.

Theoretical aspects of our research address the characterization of classes of visual queries that can be evaluated with guaranteed time-complexity by providing a careful design of the query evaluation engine.

We have recently proposed a new model, Mocha, for providing algorithm animation over the WWW. We plan to disseminate our database visualization research with Mocha.

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Last modified: Sep 27, 2006, 16:05 EDT