Facebook Twitter
Welcome to MusicBrainz! MusicBrainz is an open music encyclopedia that collects music metadata and makes it available to the public. MusicBrainz aims to be: The ultimate source of music information by allowing anyone to contribute and releasing the data under open licenses. The universal lingua franca for music by providing a reliable and unambiguous form of music identification, enabling both people and machines to have meaningful conversations about music. Like Wikipedia, MusicBrainz is maintained by a global community of users and we want everyone — including you — to participate and contribute. MusicBrainz is operated by the MetaBrainz Foundation, a California based 501(c)(3) tax-exempt non-profit corporation dedicated to keeping MusicBrainz free and open source.

Welcome to MusicBrainz!

SPARQL Explorer for http://dbtune.org/musicbrainz/sparql
Modeling your data with DBpedia vocabularies I've known for a while about ways to dig into the vocabularies used in DBpedia's massive collection of triples, and I've used terms from these vocabularies to query for information such as Bart Simpson blackboard messages and US presidents' ages at inauguration. I saw these terms as "field" names to use when querying this body of data. Reading the W3C RDFa spec recently, though, I was struck by one example: <div about="http://dbpedia.org/resource/Albert_Einstein"><span property="foaf:name">Albert Einstein</span><span property="dbp:dateOfBirth" datatype="xsd:date">1879-03-14</span><div rel="dbp:birthPlace" resource="http://dbpedia.org/resource/Germany"><span property="dbp:conventionalLongName">Federal Republic of Germany </span></div></div> Modeling your data with DBpedia vocabularies
Linked Data | Linked Data - Connect Distributed Data across the Web Linked Data is about using the Web to connect related data that wasn't previously linked, or using the Web to lower the barriers to linking data currently linked using other methods. More specifically, Wikipedia defines Linked Data as "a term used to describe a recommended best practice for exposing, sharing, and connecting pieces of data, information, and knowledge on the Semantic Web using URIs and RDF." This site exists to provide a home for, or pointers to, resources from across the Linked Data community. Part of the Linking Open (LOD) Data Project Cloud Diagram, click for full and historical versions...

Linked Data | Linked Data - Connect Distributed Data across the Web

Easy RDF and SPARQL for LAMP systems ARC is a flexible RDF system for semantic web and PHP practitioners. It's free, open-source, easy to use, and runs in most web server environments (it's PHP 5.3 E_STRICT-compliant). Features Easy RDF and SPARQL for LAMP systems - ARC RDF Classes for PHP

Easy RDF and SPARQL for LAMP systems - ARC RDF Classes for PHP


Où s'amuser avec Sparql ? Où s'amuser avec Sparql ? Non, il ne s'agit pas de faire un guide des parcs parisiens les plus accueillants pour votre nouveau compagnon à quatre pattes que vous auriez malicieusement appelé du nom de la recommandation la plus importante du W3C depuis XML, mais plutôt une liste non exhaustive des Sparql endpoint que vous pouvez interroger librement sur le Web. Les différentes interfaces que je vais présenter sont mis à disposition dans le cadre du projet Linking Open Data (ou LOD) coordonné par le W3C. Ce projet vise à exposer sur le Web des données structurées avec les technologies du Web sémantique, en particulier RDF et Sparql, suivant les quatre principes du Linked Data édictés par Tim Berners-Lee et rappelés dans ce guide ou cette présentation, soit :