@inproceedings{11aefb97c9f546d189a9808909408f60,
title = "JazzCats: Navigating an RDF triplestore of integrated performance metadata",
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.",
keywords = "Digital musicology, Jazz, Linked data, Metadata, Ontologies, Performance, SPARQL, Semantic web",
author = "Daniel Bangert and {Stephen Downie}, J. and Terhi Nurmikko-Fuller and Yun Hao",
note = "Publisher Copyright: {\textcopyright} 2018 Copyright held by the owner/author(s). Publication rights licensed to ACM.; 5th International Conference on Digital Libraries for Musicology, DLfM 2018 ; Conference date: 28-09-2018",
year = "2018",
month = sep,
day = "28",
doi = "10.1145/3273024.3273031",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery (ACM)",
pages = "74--77",
booktitle = "Proceedings of DLfM 2018",
address = "United States",
}