A distributed data space for music-related information

  • Authors:
  • Yves Raimond;Christopher Sutton;Mark Sandler

  • Affiliations:
  • Queen Mary: University of London, London, United Kngdm;Queen Mary: University of London, London, United Kngdm;Queen Mary: University of London, London, United Kngdm

  • Venue:
  • Workshop on multimedia information retrieval on The many faces of multimedia semantics
  • Year:
  • 2007

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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.