The document describes a demonstration of dbrec, a self-explanatory music recommendation system that uses Linked Data and the Linked Data Semantic Distance (LDSD) to provide recommendations for over 39,000 musical artists and bands from DBpedia. It computes recommendations by calculating the LDSD between artists modeled in an LDSD ontology and displays results through a SPARQL query-based user interface using RDFa.