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 contributionpeer-review

    2 Citations (Scopus)

    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
    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
    Publication statusPublished - 9 Oct 2018
    Event1st International Workshop on Semantic Applications for Audio and Music, SAAM 2018 - A satellite event of ISWC 2018 - Monterey, United States
    Duration: 9 Oct 2018 → …

    Publication series

    NameACM International Conference Proceeding Series

    Conference

    Conference1st International Workshop on Semantic Applications for Audio and Music, SAAM 2018 - A satellite event of ISWC 2018
    Country/TerritoryUnited States
    CityMonterey
    Period9/10/18 → …

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