Building Prototypes Aggregating Musicological Datasets on the Semantic Web

Author:

Nurmikko-Fuller Terhi1,Bangert Daniel2,Dix Alan3,Weigl David4,Page Kevin5

Affiliation:

1. Centre for Digital Humanities Research, Australian National University, 120 McCoy Circuit, ACT 2601, Australia Australian National University Centre for Digital Humanities Research 120 McCoy Circuit ACT 2601 Australia

2. Universitätsbibliothek Göttingen, Universität Göttingen, Platz der Göttinger Sieben 1, D-37073 Göttingen Universitätsbibliothek Göttingen Platz der Göttinger Sieben 1 D-37073 Göttingen Germany

3. HCI Centre, School of Computer Science, University of Birmingham, UK University of Birmingham, UK HCI Centre, School of Computer Science Birmingham United Kingdom of Great Britain and Northern Ireland

4. Oxford e-Research Centre, Department of Engineering Science, University of Oxford, 7 Keble Road, Oxford OX1 3QG, UK University of Oxford Oxford e-Research Centre, Department of Engineering Science 7 Keble Road Oxford OX1 3QG United Kingdom of Great Britain and Northern Ireland

5. Oxford e-Research Centre, Department of Engineering Science, University of Oxford, 7 Keble Road, Oxford OX1 3QG, UK University of Oxford Oxford e-Research Centre, Department of Engineering Science 7 Keble Road Oxford OX1 3QG UK United Kingdom of Great Britain and Northern Ireland

Abstract

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.

Publisher

Walter de Gruyter GmbH

Reference40 articles.

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2. Adamou, Alessandro; d’Aquin, Mathieu; Barlow, Helen; Brown, Simon (2014): LED: Curated and crowdsourced linked data on music listening experiences. In: Proceedings ISWC 2014 Posters & Demonstrations Track within the 13th Int. Semantic Web Conference, ISWC 2014, Riva del Garda, Italy, 93–96.

3. Bainbridge, David; Hu, Xiao; Downie, J. Stephen (2014): A Musical Progression with Greenstone: How Music Content Analysis and Linked Data is Helping Redefine the Boundaries to a Music Digital Library. In: Proceedings of the ACM 1st International Workshop on Digital Libraries for Musicology, New York, NY, USA, 1–8.

4. Bangert, Daniel (2016): JazzCats Body and Soul discography [dataset]. Zenodo. Available at http://doi.org/10.5281/zenodo.163886.

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