Abstract
Visual analysis and exploration of data has been extensively studied in various fields. As the amount of data increases, we need scalable and efficient visualization tools integrated with cross-discipline elements to explore and overcome the issues exposed by the large data sets. In this paper, we present our dynamic linking mechanism to create a visualization framework (mVis, multi-visualizer for multi-dimensional data) for visual exploration of large relational data sets. It is an extendable, flexible, and easy-to-use environment. The linking mechanism links co-operating components and data-connected interactive visualizers to the framework. It constitutes object-and event-linkers which are identified by their names so that new external components can subscribe to any linker group easily without compiling the framework.
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