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documentation for the LinkedBrainz project

Useful Links

For anyone following up on the LinkedBrainz work, the following links should guide through the status and give an introduction to the work.

https://github.com/BarryNorton/D2R-LinkedBrainz-Fork
project repository that includes
- the D2RQ mapping file [1]
- the libraries his D2RS instance depends on [2]
- a wiki with LinkedBrainz dataset related information [3]
- an issues list with open issues that are discovered during the development of the mapping [4]

https://github.com/zazi/linkedbrainz-d2rs-translators
project repository that includes
- the LinkedBrainz related D2RQ Translator classes that are necessary for the mapping [5]
- an issues list with open issues that are not resolved yet [6]

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

Getting started with LinkedBrainz D2R mappings

For the benefit of any interested parties, here is a brief guide to getting a LinkedBrainz D2R server up and running.

Adventures in ad hoc RDFa development for MusicBrainz

This post is intended to describe, in some detail, the implementation of RDFa within the MusicBrainz NGS codebase.  The casual reader will perhaps not be interested in these details.  The intended audience includes future LinkedBrainz/MusicBrainz developers or other developers faced with the task of injecting RDFa into a Model-View-Template web application.

The future of MusicBrainz URIs

One of the great strengths of the MusicBrainz project is disambiguation.  Each artist, label, release, release group, recording gets its own universally unique identifier or, in MusicBrainz parlance, an MBID.  This allows us to easily distinguish between two recordings of the same work or two artists that happen to have the same name.

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