MusicBrainz

A community driven music database from the MetaBrainz Foundation, San Luis Obispo, CA (www.musicbrainz.org) that is used to identify track and artist data on CDs as well as MP3, MP4, Ogg Vorbis, FLAC and other compressed files. Developed in the mid-1990s when the CDDB database became commercial, MusicBrainz was founded as an open system that allows registered users to update and edit the database. In a given week, more than a thousand users make edits, and by 2009, more than 400,000 had registered to do so.

Files are tagged with the Picard client application, which identifies songs by computing an acoustic fingerprint based on the MusicDNS technology and matching it against the MusicBrainz database. Other tagger applications, such as Magic MP3 Tagger and the Java-based Jaikoz, use the MetaBrainz database. See MusicDNS and music search.

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Additionally, they are investigating implementing metadata from open music encyclopedia MusicBrainz (http://www.music brainz.org) so that track listings, genre, and recording participants (i.e.

Music Industry Data. [London]: Academic Rights Press, 2012-

FlaBase combines information gathered from general KBs (e.g., Wikipedia, DBpedia), online music encyclopedias (e.g., MusicBrainz [https://musicbrainz.org/, accessed 16 September 2016]), and specialised flamenco Web sites (e.g., http://www.andalucia.org [accessed 16 September 2016]).

Knowledge is out there: a new step in the evolution of music digital libraries

Six popular music datasets; RWC database, GTZAN genre collection, Uspop2002, MagnaTagATune, Musicbrainz and MSD; were benchmarked based on relevance, quantity and quality.

Music emotion recognition with audio and lyrics features

With data pulled from a range of sources, including Wikipedia, Open Library, MusicBrainz, EDGAR, and the Integrated Taxonomic Information System, Freebase consists of data links from many reputable sources.

Computational, numeric, and data searching

Semusic supports searching those objects with information integrated from open datasets of music such as MusicBrainz, Wikipedia, and Tinysong.

Semantic information integration with linked data mashups approaches

The work is divided into sections by data type covering websites, people by email, people by name, people by account search terms, locations, companies, IP addresses and book, film, music and product names and individual entries deal with entities such as Flickr, Amazon, LinkedIn, Yahoo!, Bing, Google Shopping and Musicbrainz. Each entry includes useful example code and advice for accessing the resources.

Data source handbook

This emerging web of data includes data sets as extensive and diverse as DBpedia, Geonames, US Census, EuroStat, MusicBrainz, BBC Programmes, Flickr, DBLP, PubMed, UniProt, FOAF, SIOC, OpenCyc, UMBEL, Virtual Observatories, and Yago.

Reports of the AAAI 2010 Spring Symposia

Follow the arrow from the DBpedia bubble in the diagram to the top left, where it points to MusicBrainz, the music metadata resource.

The geography of linked data and ready reference

For example, MusicBrainz is one of the first of what might be called Semantic Web services [12].

Hybrid storage scheme for RDF data management in semantic web

Links were created to external data sources such as the Virtual International Authority File (http://viaf.org), MusicBrainz (https://musicbrainz .org/), and DBPedia (http://wiki.dbpedia.org [all accessed 11 March 2016]).

Library catalogue records as a research resource: introducing 'a big data history of music'

Metadata in the Spotify system comes from dedicated external sources: MusicBrainz (track and album tags) and AllMusic (biographical information and images).

Spotify

Amidst the fury over the loss of a database users believed would always be free, open source alternatives such as freedb.org and MusicBrainz began as permanently-free replacements.