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Notes on the Music: A social data infrastructure for music annotation

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  • citeproc.page
    23-31
  • citeproc.type
    chapter
  • cris.virtual.author-orcid
  • cris.virtual.department
    University of Music and Performing Arts Vienna
    University of Music and Performing Arts Vienna
  • cris.virtual.orcid
    0000-0002-1722-0718
    0000-0003-1502-1528
  • cris.virtualsource.author-orcid
    fdf3161e-7231-4cbe-bae2-3a7f7e6490e3
  • dc.contributor.author
    Weigl, David
    Goebl, Werner
    Baker, David J.
    Crawford, Tim
    Zubani, Federico
    Gkiokas, Aggelos
    Gutierrez, Nicolas F.
    Porter, Alastair
    Santos, Patricia
  • dc.date.accessioned
    2024-05-28T16:32:43Z
  • dc.date.available
    2024-05-28T16:32:43Z
  • dc.date.issued
    2021
  • dc.description.abstract
    Beside transmitting musical meaning from composer to reader, symbolic music notation affords the dynamic addition of layers of information by annotation. This allows music scores to serve as rudimentary communication frameworks. Music encodings bring these affordances into the digital realm; though annotations may be represented as digital pen-strokes upon a score image, they must be captured using machine-interpretable semantics to fully benefit from this transformation. This is challenging, as annotators’ requirements are heterogeneous, varying both across different types of user (e.g., musician, scholar) and within these groups, depending on the specific use-case. A hypothetical all-encompassing tool catering to every conceivable annotation type, even if it were possible to build, would vastly complicate user interaction. This additional complexity would significantly increase cognitive load and impair usability, particularly in dynamic real-time usage contexts, e.g., live annotation during music rehearsal or performance. To address this challenge, we present a social data infrastructure that facilitates the creation of use-case specific annotation toolkits. Its components include a selectable-score module that supports customisable click-and-drag selection of score elements (e.g., notes, measures, directives); the Web Annotations data model, extended to support the creation of custom, Web-addressable annotation types supporting the specification and (re-)use of annotation palettes; and the Music Encoding and Linked Data (MELD) Javascript client library, used to build interfaces that map annotation types to rendering and interaction handlers. We have extended MELD to support the Solid platform for social Linked Data, allowing annotations to be privately stored in user-controlled Personal Online Datastores (Pods), or selectively shared or published. To demonstrate the feasibility of our proposed approach, we present annotation interfaces employing the outlined infrastructure in three distinct use-cases: scholarly communication; music rehearsal; and rating during music listening.
  • dc.description.provenance
    Submitted by repo admin (repo-admin@mdw.ac.at) on 2024-05-28T16:32:43Z workflow start=Step: checkcorrectionstep - action:noUserSelectionAction No. of bitstreams: 0
    Made available in DSpace on 2024-05-28T16:32:43Z (GMT). No. of bitstreams: 0 Previous issue date: 2021
  • dc.identifier.doi
    10.1145/3469013.3469017
  • dc.identifier.uri
    https://dspace.mdw.ac.at/handle/123456789/4963
  • dc.language.iso
    en
  • dc.relation.uri
    https://doi.org/10.1145/3469013.34690172021
  • dc.rights.license
    CC-BY-4.0
  • dc.subject
    musical notation
    Web annotation
  • dc.title
    Notes on the Music: A social data infrastructure for music annotation
  • dc.type
    text::conference output::conference proceedings::conference paper
  • dcat.theme
    EDUC
  • dspace.entity.type
    Publication
  • mdwlis.institutionalBibliography.citation
    Weigl, David M.; Goebl, Werner; Baker, David J.; Crawford, Tim; Zubani, Federico; Gkiokas, Aggelos; Gutierrez, Nicolas F.; Porter, Alastair; Santos, Patricia: Notes on the Music: A social data infrastructure for music annotation. In: 8th International Conference on Digital Libraries for Musicology (DLfM2021), July 28–30, 2021, Virtual Conference, GA, USA. New York: ACM, S. 23-31. [online verfügbar: https://doi.org/10.1145/3469013.34690172021]
  • mdwlis.institutionalBibliography.publicationType
    erstveröffentlichte Beiträge in Sammelwerken
  • mdwlis.institutionalBibliography.subject
    Interpretation - instrumental
    Psychologie
    Physik, Astronomie
    Informatik
    Interpretation - instrumental
    Psychologie
    Physik, Astronomie
    Informatik
  • mdwlis.institutionalBibliography.subject3
    703
    501
    103
    102
    703
    501
    103
    102
  • mdwlis.institutionalBibliography.subject4
    7030
    5010
    1030
    1020
    7030
    5010
    1030
    1020
  • mdwlis.institutionalBibliography.subject5
    10046
    10035
    10002
    10001
    10046
    10035
    10002
    10001
  • mdwlis.institutionalBibliography.year
    2021
  • mdwlis.mdwonline.identifier
    2021H27
  • mdwrepo.ancestors
    LIS > Publikationen > Bibliographischer Nachweis
    LIS > Publikationen > Publications
  • mdwrepo.hasTopCommunity
    LIS
  • oairecerif.author.affiliation
    University of Music and Performing Arts Vienna
    University of Music and Performing Arts Vienna