Linked data and you: bringing music research software into the Semantic Web
Linked data and you: bringing music research software into the Semantic Web
The promise of the Semantic Web is to democratize access to data, allowing anyone to make use of and contribute back to the global store of knowledge. Within the scope of the OMRAS2 Music Information Retrieval project, we have made use of and contributed to Semantic Web technologies for purposes ranging from the publication of music recording metadata to the online dissemination of results from audio analysis algorithms. In this paper, we assess the extent to which our tools and frameworks can assist in research and facilitate distributed work among audio and music researchers, and enumerate and motivate further steps to improve collaborative efforts in music informatics using the Semantic Web. To this end, we review some of the tools developed by the OMRAS2 project, examine the extent to which our work reflects the Semantic Web paradigm, and discuss some of the remaining work needed to fulfil the promise of online music informatics research.
313-325
Cannam, Chris
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Sandler, Mark
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Jewell, Michael O.
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Rhodes, Christophe
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d'Inverno, Mark
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2010
Cannam, Chris
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Sandler, Mark
67614373-a4f6-4dcb-a165-9fb92fbc7200
Jewell, Michael O.
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Rhodes, Christophe
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d'Inverno, Mark
b1563095-1be5-462e-a0ad-3f7d7ab587c7
Cannam, Chris, Sandler, Mark, Jewell, Michael O., Rhodes, Christophe and d'Inverno, Mark
(2010)
Linked data and you: bringing music research software into the Semantic Web.
[in special issue: Music Informatics and the OMRAS2 Project]
Journal of New Music Research, 39 (4), .
(doi:10.1080/09298215.2010.522715).
Abstract
The promise of the Semantic Web is to democratize access to data, allowing anyone to make use of and contribute back to the global store of knowledge. Within the scope of the OMRAS2 Music Information Retrieval project, we have made use of and contributed to Semantic Web technologies for purposes ranging from the publication of music recording metadata to the online dissemination of results from audio analysis algorithms. In this paper, we assess the extent to which our tools and frameworks can assist in research and facilitate distributed work among audio and music researchers, and enumerate and motivate further steps to improve collaborative efforts in music informatics using the Semantic Web. To this end, we review some of the tools developed by the OMRAS2 project, examine the extent to which our work reflects the Semantic Web paradigm, and discuss some of the remaining work needed to fulfil the promise of online music informatics research.
Text
tools.pdf
- Author's Original
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Published date: 2010
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 351746
URI: http://eprints.soton.ac.uk/id/eprint/351746
ISSN: 0929-8215
PURE UUID: cc01c244-a07a-4507-be7f-e1928cd8d5f6
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Date deposited: 23 Apr 2013 17:10
Last modified: 14 Mar 2024 13:42
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Author:
Chris Cannam
Author:
Mark Sandler
Author:
Michael O. Jewell
Author:
Christophe Rhodes
Author:
Mark d'Inverno
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