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Dynamic Semantic Music Notation

Using Linked Data to Enhance Music Performance

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The Semantic Web: ESWC 2017 Satellite Events (ESWC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10577))

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Abstract

The Music Encoding Initiative (MEI) XML schema expresses musical structure addressing score elements at musically meaningful levels of granularity (e.g., individual systems, measures, or notes). While this provides a comprehensive representation of music content, only concepts and relationships provided by the MEI schema can be encoded. Here, we present our Music Encoding and Linked Data (MELD) framework which applies RDF Web Annotations to targetted portions of the MEI structure. Concepts and relationships from the Semantic Web can be included alongside MEI in an expanded musical knowledge graph. We have implemented a music performance scenario which collects, distributes, and displays semantic annotations, enhancing a digital musical score used by performers in a live music jam session.

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Notes

  1. 1.

    http://www.w3.org/TR/media-frags/.

  2. 2.

    http://www.w3.org/TR/annotation-model/.

  3. 3.

    http://json-ld.org/spec/latest/json-ld-framing/.

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Acknowledgements

Undertaken as part of the Fusing Audio and Semantic Technologies for Intelligent Music Production and Consumption project. Funder: UK EPSRC (EP/L019981/1).

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Authors and Affiliations

  1. Oxford e-Research Centre, University of Oxford, Oxford, UK

    David M. Weigl & Kevin R. Page

Authors
  1. David M. Weigl
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  2. Kevin R. Page
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Corresponding author

Correspondence to David M. Weigl .

Editor information

Editors and Affiliations

  1. Linköping University, Linköping, Sweden

    Eva Blomqvist

  2. Aalborg University, Aalborg, Denmark

    Katja Hose

  3. University of Mannheim, Mannheim, Germany

    Heiko Paulheim

  4. Poznan University of Technology, Poznan, Poland

    Agnieszka Ławrynowicz

  5. University of Sheffield, Sheffield, United Kingdom

    Fabio Ciravegna

  6. Linköping University, Linköping, Sweden

    Olaf Hartig

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Weigl, D.M., Page, K.R. (2017). Dynamic Semantic Music Notation. In: Blomqvist, E., Hose, K., Paulheim, H., Ławrynowicz, A., Ciravegna, F., Hartig, O. (eds) The Semantic Web: ESWC 2017 Satellite Events. ESWC 2017. Lecture Notes in Computer Science(), vol 10577. Springer, Cham. https://doi.org/10.1007/978-3-319-70407-4_7

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  • DOI: https://doi.org/10.1007/978-3-319-70407-4_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70406-7

  • Online ISBN: 978-3-319-70407-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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