Semantics for music researchers: How country is my country?
Semantics for music researchers: How country is my country?
The Linking Open Data cloud contains several music related datasets that hold great potential for enhancing the process of research in the field of Music Information Retrieval (MIR) and which, in turn, can be enriched by MIR results. We demonstrate a system with several related aims: to enable MIR researchers to utilise these datasets through incorporation in their research systems and workflows; to publish MIR research output on the Semantic Web linked to existing datasets (thereby also increasing the size and applicability of the datasets for use in MIR); and to present MIR research output, with cross-referencing to other linked data sources, for manipulation and evaluation by researchers and re-use within the wider Semantic Web. 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
e7598f87-3f0a-4029-9974-d2e7af5aad7d
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 researchers: How country is my country?
International Semantic Web Conference (ISWC) 2010, , China, Singapore.
(Submitted)
Record type:
Conference or Workshop Item
(Poster)
Abstract
The Linking Open Data cloud contains several music related datasets that hold great potential for enhancing the process of research in the field of Music Information Retrieval (MIR) and which, in turn, can be enriched by MIR results. We demonstrate a system with several related aims: to enable MIR researchers to utilise these datasets through incorporation in their research systems and workflows; to publish MIR research output on the Semantic Web linked to existing datasets (thereby also increasing the size and applicability of the datasets for use in MIR); and to present MIR research output, with cross-referencing to other linked data sources, for manipulation and evaluation by researchers and re-use within the wider Semantic Web. 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-iswc2010_poster_demo-krp-20100929-03.pdf
- Accepted Manuscript
More information
Submitted date: November 2010
Additional Information:
Event Dates: November 2010
Venue - Dates:
International Semantic Web Conference (ISWC) 2010, , China, Singapore, 2010-11-01
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 271628
URI: http://eprints.soton.ac.uk/id/eprint/271628
PURE UUID: 5196b5d9-f5b3-40ab-ba9c-7ba8663ec895
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Date deposited: 13 Oct 2010 13:44
Last modified: 14 Mar 2024 09:36
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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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