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JazzCats – A Collection of Aggregated RDF Triples Tracing Performance History Through Musicological Data

Research output: Chapter in Book/Report/Conference proceedingConference paper

Daniel Bangert, Alfie Abdul-Rahman, Terhi Nurmikko-Fuller

Original languageEnglish
Title of host publicationRich Semantics and Direct Representation (RICH) Workshop co-located with ACM Joint Conference on Digital Libraries (JCDL)
Publication statusPublished - 22 Jun 2017

King's Authors

Abstract

JazzCats: Jazz Collection of Aggregated Triples utilizes RDF and other Linked Data technologies to bridge previously unconnected but complementary information about jazz music. This unified knowledge base that connects three distinct datasets and links them to external online resources (VIAF, DBpedia, MusicBrainz, Wikidata, BBC), equips scholars with a tool to answer new kinds of research questions about performance histories and traditions in a prosopography of musicians. We describe the datasets, evaluate the workflows used for data modeling and semantic integration, show example results generated though SPARQL queries, and conclude with an eye to future development.

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