Ecole d'ingénieur et centre de recherche en Sciences du numérique

DOing REusable MUSical data (DOREMUS)

Lisena, Pasquale; Troncy, Raphaël

K-CAP 2017, 9th International Conference on Knowledge Capture (K-CAP 2017), December 4-6, 2017, Austin, Texas, USA

The aim of this tutorial is first to provide in-depth explanations of DOREMUS, a model for describing music metadata. We will demonstrate how real data coming from musical libraries can be converted to this model by presenting the whole DOREMUS tools chain. We will illustrate how the DOREMUS data can be used for query answering and consumed through various applications including an exploratory search engine and music recommender systems. 

Document Bibtex

Titre:DOing REusable MUSical data (DOREMUS)
Mots Clés:Ontology, Music Metadata, Linked Data, Recommender System, Graph Embeddings
Type:Tutorial
Langue:English
Ville:Austin
Pays:ÉTATS-UNIS
Date:
Département:Data Science
Eurecom ref:5309
Copyright: © ACM, 2017. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in K-CAP 2017, 9th International Conference on Knowledge Capture (K-CAP 2017), December 4-6, 2017, Austin, Texas, USA
Bibtex: @tutorial{EURECOM+5309, year = {2017}, title = {{DO}ing {RE}usable {MUS}ical data ({DOREMUS})}, author = {{L}isena, {P}asquale and {T}roncy, {R}apha{\"e}l}, number = {EURECOM+5309}, month = {12}, institution = {Eurecom} address = {{A}ustin, {\'{E}}{TATS}-{UNIS}}, url = {http://www.eurecom.fr/publication/5309} }
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