The WASABI Dataset and RDF Knowledge Graph
Michel Buffa, Elena Cabrio, Fell, Michael, Fabien L. Gandon, Alain Giboin, Romain Hennequin, Fabrice Jauvat, Elmahdi Korfed, Franck Michel, Johan M. Pauwels, Guillaume Pellerin, Maroua Tikat, Marco A. A. Winckler · Zenodo (CERN European Organization for Nuclear Research) · 2020
The WASABI Dataset and RDF Knowledge Graph is rich dataset describing more than 2 millions commercial songs, 200K albums and 77K artists (mainly from pop/rock culture). It comprises data extracted from music databases on the Web, and resulting from the processing of song lyrics and from audio analysis. This is version 2 of the dataset. It consists of two representation formats: The JSON format provides all data extracted from the MongoDB database that backs up the web application The RDF Knowledge Graph that represents the same data following the WASABI ontology. WASABI project homepage: http://wasabihome.i3s.unice.fr/ Github: https://github.com/micbuffa/WasabiDataset