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Big Data for Musicology

Weyde, T; Cottrell, S; Dykes, J; Benetos, E; Wolff, D; Tidhar, D; Kachkaev, A; ... Tovell, A; + view all (2014) Big Data for Musicology. In: Proceedings of the 1st International Workshop on Digital Libraries for Musicology: DLfM '14, London, United Kingdom — September 12 - 12, 2014. (pp. pp. 1-3). ACM: New York, US. Green open access

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Abstract

Digital music libraries and collections are growing quickly and are increasingly made available for research. We argue that the use of large data collections will enable a better understanding of music performance and music in general, which will benefit areas such as music search and recommendation, music archiving and indexing, music production and education. However, to achieve these goals it is necessary to develop new musicological research methods, to create and adapt the necessary technological infrastructure, and to find ways of working with legal limitations. Most of the necessary basic technologies exist, but they need to be brought together and applied to musicology. We aim to address these challenges in the Digital Music Lab project, and we feel that with suitable methods and technology Big Music Data can provide new opportunities to musicology.

Type: Proceedings paper
Title: Big Data for Musicology
Event: 1st International Digital Libraries for Musicology Workshop
Location: London, UK
Dates: 12 September 2014
ISBN-13: 9781450330022
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/2660168.2660187
Publisher version: http://dx.doi.org/10.1145/2660168.2660187
Language: English
Additional information: © ACM 2014. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in {Source Publication}, http://dx.doi.org/10.1145/2660168.2660187
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1469092
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