A Linking Mechanism to Integrate Components of a Visualization Framework

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.