HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

DOREMUS: A Graph of Linked Musical Works

Manel Achichi 1 Pasquale Lisena 2 Konstantin Todorov 1 Raphaël Troncy 2 Jean Delahousse 3
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Three major French cultural institutions-the French National Library (BnF), Radio France and the Philharmonie de Paris-have come together in order to develop shared methods to describe semantically their catalogs of music works and events. This process comprises the construction of knowledge graphs representing the data contained in these catalogs following a novel agreed upon ontology that extends CIDOC-CRM and FRBRoo, the linking of these graphs and their open publication on the web. A number of specialized tools that allow for the reproduction of this process are developed, as well as web applications for easy access and navigation through the data. The paper presents one of the main outcomes of this project-the DOREMUS knowledge graph, consisting of three linked datasets describing classical music works and their associated events (e.g., performances in concerts). This resource fills an important gap between library content description and music meta-data.
Complete list of metadata

Cited literature [20 references]  Display  Hide  Download

Contributor : Konstantin Todorov Connect in order to contact the contributor
Submitted on : Friday, October 12, 2018 - 4:05:36 PM
Last modification on : Wednesday, November 3, 2021 - 6:16:04 AM
Long-term archiving on: : Sunday, January 13, 2019 - 3:03:06 PM


Files produced by the author(s)



Manel Achichi, Pasquale Lisena, Konstantin Todorov, Raphaël Troncy, Jean Delahousse. DOREMUS: A Graph of Linked Musical Works. ISWC: International Semantic Web Conference, Oct 2018, Monterey, CA, United States. pp.3-19, ⟨10.1007/978-3-030-00668-6_1⟩. ⟨hal-01894663⟩



Record views


Files downloads