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JazzCats: Navigating an RDF triplestore of integrated performance metadata

dc.contributor.editorBangert, Daniel
dc.contributor.editorNurmikko-Fuller, Terhi
dc.contributor.editorDownie, J. Stephen
dc.contributor.editorHao, Yun
dc.date.accessioned2018-10-02T23:14:38Z
dc.date.available2018-10-02T23:14:38Z
dc.date.issued2018de
dc.identifier.urihttp://resolver.sub.uni-goettingen.de/purl?gs-1/15359
dc.description.abstractApplying Linked Data techniques to musical metadata can facilitate new paths of musicological inquiry. JazzCats: Jazz Collection of Aggregated Triples is a prototype project interlinking four discrete jazz performance datasets and external sources as references. Tabular, relational, and graph legacy datasets have necessitated different RDF production and ingestion workflows to support scholarly study of performance traditions. This paper highlights critical processes of data curation for digital libraries, including quality assessment of the ingested datasets. In addition, we describe research questions enabled by JazzCats, raise musicological implications, and offer suggestions to overcome current limitations.de
dc.format.extent74-77de
dc.language.isoengde
dc.publisherACM Pressde
dc.rightsopenAccess
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectLinked Data; Semantic Web; ontologies; musicology; jazz; metadatade
dc.subject.ddc020
dc.titleJazzCats: Navigating an RDF triplestore of integrated performance metadatade
dc.typeconferenceVolumede
dc.identifier.doi10.1145/3273024.3273031
dc.publisher.placeNew York, New York, USA
dc.type.versionsubmittedVersionde
dc.type.subtypejournalArticle
dc.relation.pISBN9781450365222
dc.description.statuspeerReviewedde
dc.relation.conference5th International Conference on Digital Libraries for Musicology, September 28, 2018, Parisde
dc.relation.eventLocationParis, France
dc.relation.eventDate2018.09.28
dc.title.subtitlenavigating an RDF triplestore of integrated performance metadata


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