Exploratory Search

With the various research activities in Information Visualization and Visual Analytics, GRIS also has profound knowledge in Exploratory Search.

Visual cluster analysis and dimensionality reduction combined with visual-interactive interfaces build the basis for exploratory data analysis support. At a glance, many techniques are related to Data Mining and Interactive Machine Learning. Research into example-based and sketch-based querying facilitated with visual information retrieval adds the search component. Combining exploration and search leads to powerful interactive user interfaces, tools, and systems that have been put into practice in several research projects.

One example project is VisInfo, a digital library project that enables domain experts in Earth and environmental science to access time-oriented research data from large data repositories. For the first time, domain experts are now able to conduct content-based search and exploration in time-oriented primary data, making use of the Exploratory Search principle.