JazzCats: Navigating an RDF triplestore of integrated performance metadata

Daniel Bangert, J Stephen Downie, Terhi Nurmikko-Fuller, Yun Hao

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

Abstract

Applying 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.

Original languageEnglish (US)
Title of host publicationProceedings of DLfM 2018
Subtitle of host publication5th International Conference on Digital Libraries for Musicology
PublisherAssociation for Computing Machinery
Pages74-77
Number of pages4
ISBN (Electronic)9781450365222
DOIs
StatePublished - Sep 28 2018
Event5th International Conference on Digital Libraries for Musicology, DLfM 2018 - Paris, France
Duration: Sep 28 2018 → …

Publication series

NameACM International Conference Proceeding Series

Other

Other5th International Conference on Digital Libraries for Musicology, DLfM 2018
CountryFrance
CityParis
Period9/28/18 → …

Keywords

  • Digital musicology
  • Jazz
  • Linked data
  • Metadata
  • Ontologies
  • Performance
  • SPARQL
  • Semantic web

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • Cite this

    Bangert, D., Downie, J. S., Nurmikko-Fuller, T., & Hao, Y. (2018). JazzCats: Navigating an RDF triplestore of integrated performance metadata. In Proceedings of DLfM 2018: 5th International Conference on Digital Libraries for Musicology (pp. 74-77). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3273024.3273031