Interacting With Linked Data About Music

Abstract

In this work we develop a novel method for visualizing and interacting with large amounts of structured data. By applying concepts from complex networks research to semantic graphs we create meaningful visualizations of the relation- ships between hundreds of thousands of individuals. These visualizations are applied to music collections and used to create a collection navigation tool. The visualizations are also applied to data collected from the Semantic Web and used as a music navigation and music discovery interface. Although we present use-cases related to music, the tools described could be used in many other domains.