Visualisation and Exploration of Scientific Data Using Graphs

We present a prototype application for graph-based data exploration and mining, with particular emphasis on scientific data. The application has a Flash-based graphical interface and uses semantic information from the data sources to keep this interface as intuitive as possible. Data can be accessed from local and remote databases and files. The user can generate a number of graphs that represent different views of the data. Graphs can be explored using an interactive visual browser, or graph-analytic algorithms. We demonstrate the approach using marine sediment data, and show that differences in benthic species compositions in two Antarctic bays are related to heavy metal contamination.