Building Prototypes Aggregating Musicological Datasets on the Semantic Web [Die Erstellung prototypischer Anwendungen von verknupften musikwissenschaftlichen Datensatzen]

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

doi:10.1515/bfp-2018-0025

Building Prototypes Aggregating Musicological Datasets on the Semantic Web [Die Erstellung prototypischer Anwendungen von verknupften musikwissenschaftlichen Datensatzen]

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

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	206-221
Journal	Bibliothek Forschung und Praxis
Volume	42
Issue number	2
DOIs	https://doi.org/10.1515/bfp-2018-0025
Publication status	Published - 2018

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AU - Dix, A

AU - Weigl, D.

AU - Page, Kevin

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AB - 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.

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Building Prototypes Aggregating Musicological Datasets on the Semantic Web [Die Erstellung prototypischer Anwendungen von verknupften musikwissenschaftlichen Datensatzen]

Abstract

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