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Visualization of Heterogeneous Data
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Source IEEE Transactions on Visualization and Computer Graphics archive
Volume 13 ,  Issue 6  (November 2007) table of contents
Pages 1200-1207  
Year of Publication: 2007
Alon Halevey  IEEE Computer Society
Pat Hanrahan  IEEE Computer Society
Student Members
Bryan Chan  IEEE
Jeff Klingner  IEEE Computer Society
IEEE Educational Activities Department  Piscataway, NJ, USA
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Both the Resource Description Framework (RDF), used in the semantic web, and Maya Viz u-forms represent data as a graph of objects connected by labeled edges. Existing systems for flexible visualization of this kind of data require manual specification of the possible visualization roles for each data attribute. When the schema is large and unfamiliar, this requirement inhibits exploratory visualization by requiring a costly up-front data integration step. To eliminate this step, we propose an automatic technique for mapping data attributes to visualization attributes. We formulate this as a schema matching problem, finding appropriate paths in the data model for each required visualization attribute in a visualization template.

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