Projet de recherche doctoral numero :4665


Date depot: 1 janvier 1900
Titre: Knowledge-based Music Recommendation: Models, Algorithms and Exploratory Search
Encadrant : Raphael TRONCY (Eurecom)
Directeur de thèse: Benoit HUET (États-Unis)
Domaine scientifique: Sciences et technologies de l'information et de la communication
Thématique CNRS : Non defini

Resumé: Music is everywhere − played, recorded, broadcasted and listened to. Files of recorded music are all over the web − stored, streamed, shared or sold. The knowledge about musical works is described in detail in the information systems of several cultural and media organizations around the world. The leading actors in France − the BnF (Bibliothèque Nationale de France), the Philharmonie de Paris and Radio France, as well as the Meaning Engines company join forces with three academic institutions within the DOREMUS project in order to make this knowledge available and re-usable on the web of data. The project covers three main objectives: (1) to publish and to link musical data on the web of data including the description of musical works as well as their interpretation (event); (2) to develop tools assisting the selection of pieces of music, for instance, to generate an original playlist for a specialized radio station or to illustrate a musical period or genre; and (3) to construct and validate educational tools that enable the deployment of standards, vocabularies and the underlying semantic web technologies in the cultural institutions in France and worldwide.

Doctorant.e: Lisena Pasquale