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README.md

CityMusic

The experience of a walk in the city with the most suitable soundtrack, on the base of the urban context.

DEMO - Slides

Abstract

Linked Data make possible the discovering of interesting connection between semantic entities that belongs to different domains. This report contains all the material we realised for developing 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 search the shorter path in the graph between the Points of Interest (PoIs) nearby the user and music composers, making use of a combination of DBpedia and domain-specific datasets like 3cixty for tourism and DOREMUS for music metadata.

Content of the repository

Knowledge base matching
  • match_3cixty_dbpedia Match PoIs between 3cixty and DBpedia.
  • match_artist_doremus_spotify Match Artists between DOREMUS and Spotify.
  • match_doremus_lod Match artists between DOREMUS and DBpedia/Wikidata -- see stats.
  • spotify_analytic
  • match_works_doremus_spotify Match DOREMUS works to Spotify tracks.
  • youtube_experiment Use YouTube API for getting location related music videos.
Path finding
  • path finder A script for computing the shortest paths in a RDF graph, in the form of a python notebook.
Application
  • app The client application.
  • server The recommender API server.
Other
  • report The final report of the project (pdf).