This paper introduces the ontological model for a FAIR digital library of music documents which takes into account a variety of music-related information, among which editorial information on documents and their production workflow as well as the score content and licensing information. The model is complemented with annotations (e.g. comments, fingering) on music documents produced by end-users, capable to add a social layer over the framework which enables the building of user-centric music applications. As a result, a machine-understandable knowledge graph of music content is defined, which can be queried, navigated and explored. On top of this, novel applications could be designed, like semantic workplaces where music scholars and musicians can find, analyse, compare, annotate and manipulate musical objects.
Towards a Knowledge Graph Representation of FAIR Music Content for Exploration and Analysis
Storti E.
Primo
2022-01-01
Abstract
This paper introduces the ontological model for a FAIR digital library of music documents which takes into account a variety of music-related information, among which editorial information on documents and their production workflow as well as the score content and licensing information. The model is complemented with annotations (e.g. comments, fingering) on music documents produced by end-users, capable to add a social layer over the framework which enables the building of user-centric music applications. As a result, a machine-understandable knowledge graph of music content is defined, which can be queried, navigated and explored. On top of this, novel applications could be designed, like semantic workplaces where music scholars and musicians can find, analyse, compare, annotate and manipulate musical objects.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
