Information Retrieval and Visualization of Massive Database using Dimensional Reduction based on Vector Space Model

We present a novel system, Prosciutto, for IR (Information Retrieval) and visualization of the contents of massive databases. The system has several notable features. One of the most useful is a similarity search based on vector space modeling. Another is a service to recommend three mutually perpendicular subspace coordinate axes in attribute space onto which document vectors can be projected and displayed for view to help users understand relationships between a query and database documents. (in Japanese)