Trackloaded Dataset: Linked Open Data on African Music Artists and Labels

The Trackloaded Dataset provides structured, machine-readable linked data about African music — with a focus on Nigerian artists, record labels, and live music charts. Each entity includes rich metadata such as name, homepage URL, genre, biography, social links, and birth date, following semantic web standards for interoperability. This dataset is published as RDF (Turtle, RDF/XML) and JSON-LD, and adheres to widely recognized vocabularies including FOAF, Music Ontology, Schema.org, and OWL. All artist and label pages on Trackloaded.com embed their own linked data representations, while a VoID dataset descriptor provides a global overview for semantic agents and crawlers. Built on WordPress, this dataset powers real-time knowledge graph discovery for the African music ecosystem, enabling applications in research, digital humanities, music intelligence, and AI training. Key Access Points Live SPARQL Endpoint: trackloaded.com Example Per-Artist RDF: trackloaded.com Example Per-Label RDF: trackloaded.com Dataset Browser: trackloaded.com Documentation: trackloaded.com VoID Metadata File: trackloaded.com Use Cases Semantic web research and data enrichment Cultural heritage documentation AI and large language model (LLM) training Knowledge graph integration and cross-platform music analytics