Lewis, David; 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]

Preview

Text bith.pdf - Accepted Version Download (4MB) | Preview

Abstract or Description

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.

Item Type:	Conference or Workshop Item (Paper)
Identification Number (DOI):	https://doi.org/10.1145/3543882.3543891
Additional Information:	© 2022 Copyright held by the owner/author(s). Publication rights licensed to ACM. This is the accepted manuscript version of the paper. The final version is available online from the Association for Computing Machinery at: https://doi.org/10.1145/3543882.3543891 This research was undertaken by the project ‘Beethoven in the House: Digital Studies of Domestic Music Arrangements’, and supported by a UK-Germany funding initiative: in the UK by the Arts and Humanities Research Council (AHRC), project number AH/T01279X/1; and in Germany funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), project number 429039809.
Keywords:	digital musicology, conceptual modelling, linked data, FRBR, music arrangements
Departments, Centres and Research Units:	Computing
Dates:	Date Event 28 July 2022 Published
Event Location:	Prague, Czech Republic
Date range:	28 July 2022
Item ID:	32848
Date Deposited:	21 Dec 2022 14:45
Last Modified:	22 Dec 2022 14:23
URI:	https://research.gold.ac.uk/id/eprint/32848

View statistics for this item...

Edit Record (login required)