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Bibliothek Forschung und Praxis

Ed. by Bonte, Achim / Degkwitz, Andreas / Horstmann, Wolfram / Kaegbein, Paul / Keller, Alice / Kellersohn, Antje / Lux, Claudia / Marwinski, Konrad / Mittler, Elmar / Rachinger, Johanna / Seadle, Michael / Vodosek, Peter / Vogt, Hannelore / Vonhof, Cornelia

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Volume 42, Issue 2


Building Prototypes Aggregating Musicological Datasets on the Semantic Web

Die Erstellung prototypischer Anwendungen von verknüpften musikwissenschaftlichen Datensätzen

Dr. Terhi Nurmikko-Fuller
  • Corresponding author
  • Centre for Digital Humanities Research, Australian National University, 120 McCoy Circuit, ACT 2601, AustraliaAustralian National UniversityCentre for Digital Humanities Research120 McCoy CircuitACT 2601Australia
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/ Dr. Daniel Bangert
  • Universitätsbibliothek Göttingen, Universität Göttingen, Platz der Göttinger Sieben 1, D-37073 GöttingenUniversitätsbibliothek GöttingenPlatz der Göttinger Sieben 1D-37073 GöttingenGermany
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/ Prof. Alan Dix
  • HCI Centre, School of Computer Science, University of Birmingham, UKUniversity of Birmingham, UKHCI Centre, School of Computer ScienceBirminghamUnited Kingdom of Great Britain and Northern Ireland
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/ Dr. David Weigl
  • Oxford e-Research Centre, Department of Engineering Science, University of Oxford, 7 Keble Road, Oxford OX1 3QG, UKUniversity of OxfordOxford e-Research Centre, Department of Engineering Science7 Keble RoadOxford OX1 3QGUnited Kingdom of Great Britain and Northern Ireland
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/ Dr. Kevin Page
  • Oxford e-Research Centre, Department of Engineering Science, University of Oxford, 7 Keble Road, Oxford OX1 3QG, UKUniversity of OxfordOxford e-Research Centre, Department of Engineering Science7 Keble RoadOxford OX1 3QG UKUnited Kingdom of Great Britain and Northern Ireland
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Published Online: 2018-06-01 | DOI: https://doi.org/10.1515/bfp-2018-0025


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.


Semantische Web-Technologien wie RDF, OWL und SPARQL ermöglichen die Verknüpfung von komplementären musikwissenschaftlichen Daten. In diesem Artikel beschreiben, vergleichen und bewerten wir die Datensätze und Workflows, die zur Erstellung zweier solcher Aggregationsprojekte verwendet wurden: In Collaboration with In Concert und JazzCats, die jeweils Sammlungen kleinerer Projekte mit Konzert- und Performance-Metadaten zusammenführen.

Keywords: Musicology; ontology; workflow

Schlüsselwörter: Musikwissenschaft; Ontologie; Workflow


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About the article

Dr. Terhi Nurmikko-Fuller

Dr. Daniel Bangert

Prof. Alan Dix

Dr. David Weigl

Dr. Kevin Page

Published Online: 2018-06-01

Published in Print: 2018-06-01

Citation Information: Bibliothek Forschung und Praxis, Volume 42, Issue 2, Pages 206–221, ISSN (Online) 1865-7648, ISSN (Print) 0341-4183, DOI: https://doi.org/10.1515/bfp-2018-0025.

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