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A Large-Scale Semantic Library of MIDI Linked Data

Meroño-Peñuela, Albert; Kent-Muller, Anna; de Valk, Reinier; Daquino, Marilena and Daga, Enrico (2018). A Large-Scale Semantic Library of MIDI Linked Data. In: DLfM '18- Proceedings of the 5th International Conference on Digital Libraries for Musicology (Page, Kevin ed.), ACM, Paris, France.

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Abstract

Over recent decades, the natural sciences have moved from formulating hypotheses through the observation of phenomena to generating them automatically through the analysis of large cross-disciplinary datasets, collected and maintained within large collaborative projects. Recently, it was suggested that musicology should embrace the same paradigm shift, and move to a more collaborative and data-oriented culture. In this paper, we describe the MIDI Linked Data Cloud, an RDF graph of 10 billion MIDI statements linked to contextual metadata. We show examples of its potential application for digital libraries for musicology, and we argue that the use of Linked Data for integrating symbolic music notations and contextual metadata constitutes technical foundations for Web-scale musicology projects.

Item Type: Conference or Workshop Item
Copyright Holders: 2018 Albert Meroño-Peñuela, 2018 Anna Kent-Muller, 2018 Reinier de Valk, 2018 Marilena Daquino, 2018 Enrico Daga
ISBN: 1-4503-6522-1, 978-1-4503-6522-2
Keywords: MIDI; Linked Data; Semantic Digital Library
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 60777
Depositing User: Enrico Daga
Date Deposited: 09 May 2019 11:02
Last Modified: 13 May 2019 15:27
URI: http://oro.open.ac.uk/id/eprint/60777
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