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RDF Dump

With the LinkedBrainz D2R fork running under the latest revision of mappings we have produced an dump of the current RDF translation of the MusicBrainz NGS dataset. This is now 23.8GB of NTriples, ~180M assertions, which are available as a 2.7GB gzip compressed download.

In order to load this dump it is necessary to chunk it into manageable pieces. For instance, to load into OWLIM execute the following:
$split -l 1000000 musicbrainz_ngs_dump.rdf.ttl.gz $owlim/preload

LinkedBrainz at ESWC Summer School

Tutorials on Linked Data, Linked Services and Ontology Design were presented at the ESWC Summer School, each using LinkedBrainz and the Music Ontology as examples. As well as the recently-released live RDFa on, the students were given early access to a SPARQL endpoint via D2R for the purposes of group projects undertaken, with the supervision of tutors, during the week.

A very positive outcome was a promising prototype for a extension, produced using GreaseMonkey, concerning the indirect attribution of affect to music via association to pictures with established affect.

Project Plan Post 5 of 7: Project Team Relationships and End User Engagement

The project team consists of Simon Dixon (PI), Mark Sandler (CI) and Kurt Jacobson (RA) from the Centre for Digital Music (C4DM) at Queen Mary University of London. C4DM is a world-leading multidisciplinary research group in the field of Music & Audio Technology. C4DM has around 50 members working on signal processing of digital music, music informatics, machine listening, audio engineering and interactive performance. Research funding obtained since 2001 totals over £14m, mainly from the EPSRC and EU.

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