Combining Social Music and Semantic Web for music-related recommender systems

This document discusses combining social music data and the semantic web for music recommendation systems. It outlines how social music data from services like Last.fm can be modeled and interconnected using ontologies like FOAF, SIOC and MOAT. This unified semantic social music data can then be used for music recommendations by exploring relationships between artists, genres, social connections and tagged content. Examples of recommendation approaches are provided that leverage different aspects of the semantic social music graph.