Swinging triples: Bridging jazz performance datasets using linked data
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Nurmikko-Fuller, Terhi
Bangert, Daniel
Hao, Yun
Downie, J.S.
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Association for Computing Machinery (ACM)
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.
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SAAM '18 Proceedings of the 1st International Workshop on Semantic Applications for Audio and Music
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Open Access