• »Play it again, Sam« – Levels of Complexity in Encoding Performance Personnel

    Author(s):
    Benjamin W. Bohl, Dennis Ried
    Contributor(s):
    Ailynn Ang, Jennifer Bain
    Editor(s):
    David M. Weigl (see profile)
    Date:
    2023
    Group(s):
    Music Encoding Initiative
    Subject(s):
    Digital humanities, Music
    Item Type:
    Conference poster
    Conf. Title:
    Music Encoding Conference 2022
    Conf. Org.:
    Dalhousie University
    Conf. Loc.:
    Halifax, Nova Scotia, Canada
    Conf. Date:
    May 19-22, 2022
    Tag(s):
    castList, instrumentation, MEI, metadata, Music encoding, perfMedium
    Permanent URL:
    https://doi.org/10.17613/xn3g-vs35
    Abstract:
    Capturing the personnel needed to perform a musical work in MEI metadata is straightforward with standard ensemble configurations, such as string quartets. In contrast, it can be highly complex for extensive orchestral settings, stage music, or, e.g., twentieth-century ‘Neue Musik.’ Especially in the latter case, the degree of possible variation is virtually limitless. While MEI 4.0.1 offers places within (descendants of , ) for capturing such data and provides means for quite complicated data structures through, e.g., nesting or referencing, there is still room for improvement. First of all, data structures should stay as simple and generic as possible. That is to say, that structural modification and a more detailed description of MEI's data model for the benefit of a more concise encoding should be the target, especially when envisioning a more structured encoding of more complex setups. For example, representing dependencies between performers and instruments is extremely limited in the data model for in MEI 4.0.1 (see definition of and also Gubsch & Ried, 2021). This poster takes as a starting point issues from two edition projects dealing with music from the twentieth century to illustrate philological intricacies and investigate the possibilities to encode them with MEI 4.0.1.
    Metadata:
    xml
    Status:
    Published
    Last Updated:
    3 months ago
    License:
    Attribution-NonCommercial-NoDerivatives
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