@inproceedings{c001a98220214a8292d19d2c6325e27a,
title = "Swinging triples: Bridging jazz performance datasets using linked data",
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.",
keywords = "Digital musicology, Jazz, Linked Data, Metadata, Ontologies, Performance, SPARQL, Semantic web",
author = "Terhi Nurmikko-Fuller and Daniel Bangert and Yun Hao and Downie, {J. Stephen}",
note = "Publisher Copyright: {\textcopyright} 2018 Copyright held by the owner/author(s). Publication rights licensed to ACM; 1st International Workshop on Semantic Applications for Audio and Music, SAAM 2018 - A satellite event of ISWC 2018 ; Conference date: 09-10-2018",
year = "2018",
month = oct,
day = "9",
doi = "10.1145/3243907.3243914",
language = "English (US)",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "42--45",
booktitle = "Proceedings of SAAM 2018",
address = "United States",
}