LinkedBrainz

fluidsOps AG have taken the OWLIM database, loaded with the LinkedBrainz dump, and created a public SPARQL endpoint. This is used, together with their Information Workbench product to provide a front-end user interface for LinkedBrainz.

Title of Primary Project Output: LinkedBrainz Live!

The type of user this product is for: LinkedBrainz Live is for application developers and institutions who require or use information about recorded music. Especially if thes require to interlink datasets or benefit from inference via automated reasoning.

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

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 MusicBrainz.org, 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 Last.fm extension, produced using GreaseMonkey, concerning the indirect attribution of affect to music via association to pictures with established affect.