TY  - Type of reference 
TI  - Exploring Music Scores as Graph Data 
AU  - Philippe Rigaux
 
AU  - Virginie Thion 
AB  - Sheet music scores have been the traditional way to preserve and disseminate Western classical music works for centuries. Nowadays, their content can be encoded in digital formats that yield a very detailed representation of music content expressed in the language of music notation. These encoded (digital) scores constitute an invaluable asset for digital library services such as search, analysis, clustering, and recommendations. In this paper, we propose a model of the musical content of digital score as graph data, which can be stored in a graph database management system. We then discuss the querying of such data through graph pattern queries. We also describe a proof-of-concept of the approach that allows uploading music scores in a Neo4j database, and expressing searches and analyses through graph pattern queries with the query language Cypher. 
DO  - 10.21494/ISTE.OP.2024.1193 
JF  - Open Journal in Information Systems Engineering 
KW  - Music scores, Graph databases, Data model, Pattern queries, Partitions musicales, Base de données graphe, Modèle de données, Interrogation à base de patrons,  
L1  - https://www.openscience.fr/IMG/pdf/iste_roisi24v4n2_2.pdf 
LA  - en 
PB  - ISTE OpenScience 
DA  - 2024/08/29 
SN  - 2634-1468 
TT  - Exploration de partitions musicales modélisées sous forme de graphe 
UR  - https://www.openscience.fr/Exploring-Music-Scores-as-Graph-Data 
IS  - Issue 2 
VL  - 4 
ER  -