Demo – Paper 569

CityMUS: Music Recommendation When Exploring a City Pasquale Lisena, Lorenzo Canale, Fabio Ellena and Raphaël Troncy Demo Download paper (preprint)

Abstract

Linked Data makes possible the discovery of interesting connections between semantic entities that belong to different domains. This paper presents CityMUS, a web application that gives to the user the experience of a walk in the city with the most suitable soundtrack, on the base of the urban context. The application relies on a recommender system that searches for paths in a knowledge graph between nearby places and music composers, making use of a combination of DBpedia and domain-specific datasets.