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Building Prototypes Aggregating Musicological Datasets on the Semantic Web

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Date

2018

Authors

Nurmikko-Fuller, Terhi
Bangert, Daniel
Dix, A
Weigl, D.
Page, Kevin

Journal Title

Journal ISSN

Volume Title

Publisher

De Gruyter Saur

Abstract

Semantic Web technologies such as RDF, OWL, and SPARQL can be successfully used to bridge complementary musicological information. In this paper, we describe, compare, and evaluate the datasets and workflows used to create two such aggregator projects: In Collaboration with In Concert, and JazzCats, both of which bring together a cluster of smaller projects containing concert and performance metadata.

Description

Keywords

Musicology, ontology, workflow

Citation

URI

http://hdl.handle.net/1885/251120

Collections

ANU Research Publications

Source

Bibliothek Forschung und Praxis

Type

Journal article

Book Title

Entity type

Access Statement

Open Access

License Rights

DOI

10.1515/bfp-2018-0025

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01_Nurmikko-Fuller_Building_Prototypes_2018.pdf (5.35 MB)

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