Interactive Data Analysis Tool by Augmenting MATLAB with Semantic Objects

Abstract

The traditional data analysis tools support strong computational capabilities and numerous standard visualization techniques. However, they provide little visual interactions due to the fact that the tools maintain a wide applicability to diverse data domains, and thus any inherent meanings associated with the data domains are hardly allowed. To cover these limitations, we propose to augment Mat lab, one of the widely used data analysis tools and computational languages, by imposing the capabilities of handling semantic objects so that diverse essential interaction capabilities could be allowed such as brushing-and-linking, details-on-demand, and dynamic interactive updating on visualization. In our demonstration, we will show our audience how to import semantic data, how visual interactions are occurred, and how these functionalities are convenient using the movie similarity graph data set.