Semantics for music analysis through linked data: How country is my country?
Semantics for music analysis through linked data: How country is my country?
We present a proof-of-concept system that demonstrates the utility of linked data for enhancing the application of Music Information Retrieval (MIR) workflows, both when curating collections of music signal data for analysis, and publishing results that can be simply and readily correlated to these, and other, collection sets and Linked Data sources. The system includes: linked data implementations of a signal repository, collection builder, and results explorer; an extension to the myExperiment workflow sharing environment to include Meandre workflows; and support within myExperiment and Meandre to retrieve and persist resources from the linked data repositories. By way of example we gather and publish RDF describing signal collections derived from the country of an artist. Genre analysis over these collections and integration of collection and result metadata enables us to ask: "how country is my country?".
Page, Kevin
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Fields, Benjamin
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Nagel, Bart
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O'Neill, Gianni
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De Roure, David
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Crawford, Tim
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Page, Kevin
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Fields, Benjamin
e56162d4-09cb-444f-86c2-9bcfef5114a2
Nagel, Bart
d188f8a9-7ffc-4708-9df5-0b230c663793
O'Neill, Gianni
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De Roure, David
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Crawford, Tim
ebe3201d-d55d-45fb-913a-ff5d55d8e62b
Page, Kevin, Fields, Benjamin, Nagel, Bart, O'Neill, Gianni, De Roure, David and Crawford, Tim
(2010)
Semantics for music analysis through linked data: How country is my country?
Sixth IEEE e–Science conference (e-Science 2010), Brisbane, Australia.
(Submitted)
Record type:
Conference or Workshop Item
(Paper)
Abstract
We present a proof-of-concept system that demonstrates the utility of linked data for enhancing the application of Music Information Retrieval (MIR) workflows, both when curating collections of music signal data for analysis, and publishing results that can be simply and readily correlated to these, and other, collection sets and Linked Data sources. The system includes: linked data implementations of a signal repository, collection builder, and results explorer; an extension to the myExperiment workflow sharing environment to include Meandre workflows; and support within myExperiment and Meandre to retrieve and persist resources from the linked data repositories. By way of example we gather and publish RDF describing signal collections derived from the country of an artist. Genre analysis over these collections and integration of collection and result metadata enables us to ask: "how country is my country?".
Text
CountryCountry-escience2010-krp-20101012-02.pdf
- Accepted Manuscript
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Submitted date: December 2010
Additional Information:
Event Dates: December 2010
Venue - Dates:
Sixth IEEE e–Science conference (e-Science 2010), Brisbane, Australia, 2010-12-01
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 271595
URI: http://eprints.soton.ac.uk/id/eprint/271595
PURE UUID: feffa539-bef8-435e-b78a-21966bb211ec
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Date deposited: 24 Sep 2010 20:29
Last modified: 14 Mar 2024 09:34
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Contributors
Author:
Kevin Page
Author:
Benjamin Fields
Author:
Bart Nagel
Author:
Gianni O'Neill
Author:
David De Roure
Author:
Tim Crawford
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