MusicBrainz provides crowd-sourced metadata about musical recordings in what is perhaps the cleanest and most comprehensive music metadata repository on the Web. The aim of this project is to expose the MusicBrainz database, which describes over 9 million musical recordings, on the semantic web as linked data,and link it to other music metadata such as provided by DBpedia and the BBC. Research issues concern the scalability, sustainability and provenance of the database. Uptake of this work will be encouraged via tutorial materials and workshops for the academic music and music informatics communities.

Linked Music Metadata

MusicBrainz provides crowd-sourced metadata about musical recordings in what is perhaps the cleanest and most comprehensive music metadata repository on the Web. The aim of this project is to expose the MusicBrainz database, which describes over 9 million musical recordings, on the semantic web as linked data,and link it to other music metadata such as provided by DBpedia and the BBC. Research issues concern the scalability, sustainability and provenance of the database. Uptake of this work will be encouraged via tutorial materials and workshops for the academic music and music informatics communities.

Project Staff

Project Manager

Simon Dixon - Queen Marys, University of London

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Summary
Start date
1 July 2010
End date
30 June 2011
Funding programme
Information Environment Programme 2009-11
Strand
Exposing digital content for reuse (jiscEXPO)
Lead institutions

Queen Mary, University of London

Committees
  • JISC Infrastructure and Resources Committee