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mytune: webvisualization technologies for irish traditional music archives

Published: 28 September 2018 Publication History

Abstract

Online digital music libraries have become important repositories for music for all enthusiasts of Irish traditional music. These libraries have certainly facilitated the discovery of new material and enabled extensive exploration of musical variations on well-known favorites. Current web interfaces to these repositories, offer a combination of text and notation-based information as well as providing audio and midi listening formats. However, these interfaces could take advantage of more recently available technologies offering graph-based, interactive, visual displays and more useful data analytic content. Drawing on the state-of the-art data visualization web libraries, the objective of this work is to present a prototype of a new digital library for Irish traditional music. The design and architecture is detailed using standard Unified Modelling Language (UML) notation. Evaluation is carried out by a usability survey to determine the effectiveness of the enhancements.

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DLfM '18: Proceedings of the 5th International Conference on Digital Libraries for Musicology
September 2018
101 pages
ISBN:9781450365222
DOI:10.1145/3273024
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 September 2018

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Author Tags

  1. digital music library
  2. music visualization
  3. musicology analysis

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DLfM '18

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DLfM '18 Paper Acceptance Rate 14 of 27 submissions, 52%;
Overall Acceptance Rate 27 of 48 submissions, 56%

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