A model for annotating musical versions and arrangements across multiple documents and media

Lewis, DavidORCID logo; Shibata, Elisabete; Saccomano, Mark; Rosendahl, Lisa; Kepper, Johannes; Hankinson, Andrew; Siegert, Christine; and Page, Kevin. 2022. 'A model for annotating musical versions and arrangements across multiple documents and media'. In: 9th International Conference on Digital Libraries for Musicology (DLfM2022). Prague, Czech Republic 28 July 2022. [Conference or Workshop Item]
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We present a model for the annotation of musical works, where the annotations are created with respect to a conceptual abstraction of the music instead of directly to concrete encodings. This supports musicologists in constructing arguments about musical elements that occur in multiple digital library sources (or other web resources), that recur across a work, or that appear in different forms in different arrangements. It provides a way of discussing musical content without tying that discourse to the location, notation or medium of the content, allowing evidence from multiple libraries and in different formats to be brought together to support musicological assertions.

This model is implemented in Linked Data and illustrated in a prototype application in which musicologists annotate vocal arrangements of the Allegretto from Beethoven’s Seventh Symphony from multiple sources.


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