A distributed data space for music-related information

Abstract

In this paper, we describe how some key Semantic Web technologies can be used to gather in a single distributed knowledge environment several music-related sources of information, from digital archives to feature extractors or personal music collections. Such knowledge can then be used for a wide range of purposes, such as aggregation and information retrieval, visualisation and enriched access, or cross-repository interlinking. We also describe on-going efforts aiming at bootstrapping such a data-space, as well as preliminary results.