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Swinging triples: Bridging jazz performance datasets using linked data

dc.contributor.authorNurmikko-Fuller, Terhi
dc.contributor.authorBangert, Daniel
dc.contributor.authorHao, Yun
dc.contributor.authorDownie, J.S.
dc.coverage.spatialMonterey, United States
dc.date.accessioned2019-12-18T23:30:08Z
dc.date.available2019-12-18T23:30:08Z
dc.date.createdOctober 9 2018
dc.date.issued2018-10-09
dc.date.updated2019-08-04T08:19:05Z
dc.description.abstractThe 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.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.isbn978-145036495-9en_AU
dc.identifier.urihttp://hdl.handle.net/1885/196182
dc.language.isoen_AUen_AU
dc.provenancePermission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first pageen_AU
dc.publisherAssociation for Computing Machinery (ACM)en_AU
dc.relation.ispartofseries1st International Workshop on Semantic Applications for Audio and Music, SAAM 2018 - A satellite event of ISWC 2018
dc.rights© 2018 owner/author(s).en_AU
dc.sourceSAAM '18 Proceedings of the 1st International Workshop on Semantic Applications for Audio and Musicen_AU
dc.titleSwinging triples: Bridging jazz performance datasets using linked dataen_AU
dc.typeConference paperen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.lastpage55en_AU
local.bibliographicCitation.startpage42en_AU
local.contributor.affiliationNurmikko-Fuller, Terhi, College of Arts and Social Sciences, ANUen_AU
local.contributor.affiliationBangert, Daniel, University of Göttingenen_AU
local.contributor.affiliationHao, Yun, University of Illinois Urbana-Champaignen_AU
local.contributor.affiliationDownie, J.S., University of Illinois at Urbana-Champaignen_AU
local.contributor.authoruidNurmikko-Fuller, Terhi, u1026588en_AU
local.description.notesImported from ARIESen_AU
local.description.refereedYes
local.identifier.absfor080505 - Web Technologies (excl. Web Search)en_AU
local.identifier.absfor190409 - Musicology and Ethnomusicologyen_AU
local.identifier.absseo970120 - Expanding Knowledge in Languages, Communication and Cultureen_AU
local.identifier.ariespublicationu3102795xPUB235en_AU
local.identifier.doi10.1145/3243907.3243914en_AU
local.identifier.scopusID2-s2.0-85058671521
local.publisher.urlhttps://dl.acm.orgen_AU
local.type.statusPublished Versionen_AU

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