Swinging triples: Bridging jazz performance datasets using linked data

Terhi Nurmikko-Fuller, Daniel Bangert, Yun Hao, J. Stephen Downie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The jazz performance metadata prototype JazzCats:Jazz Collection of Aggregated Triples uses Linked Data to bridge four discrete jazz music datasets: Linked Jazz, with prosopographical and interpersonal information about musicians; the Weimar Jazz Database (WJazzD), containing musicological metadata; a discography of the jazz standard Body&Soul; and J-DISC, a fourth independent but complementary and extensive discographic project. Through the use of custom-built ontological structures the data, originally stored in various different information structures, has been converted to RDF and merged together in a single triplestore. The result is a new digital resource that can be used to support and enrich scholarship and research in musicology and performance studies.

Original languageEnglish (US)
Title of host publicationProceedings of SAAM 2018
Subtitle of host publication1st International Workshop on Semantic Applications for Audio and Music
PublisherAssociation for Computing Machinery
Pages42-45
Number of pages4
ISBN (Electronic)9781450364959
DOIs
StatePublished - Oct 9 2018
Event1st International Workshop on Semantic Applications for Audio and Music, SAAM 2018 - A satellite event of ISWC 2018 - Monterey, United States
Duration: Oct 9 2018 → …

Publication series

NameACM International Conference Proceeding Series

Other

Other1st International Workshop on Semantic Applications for Audio and Music, SAAM 2018 - A satellite event of ISWC 2018
CountryUnited States
CityMonterey
Period10/9/18 → …

Keywords

  • Digital musicology
  • Jazz
  • Linked Data
  • Metadata
  • Ontologies
  • Performance
  • SPARQL
  • Semantic web

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • Cite this

    Nurmikko-Fuller, T., Bangert, D., Hao, Y., & Downie, J. S. (2018). Swinging triples: Bridging jazz performance datasets using linked data. In Proceedings of SAAM 2018: 1st International Workshop on Semantic Applications for Audio and Music (pp. 42-45). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3243907.3243914