The University of Southampton
University of Southampton Institutional Repository

Semantics for music analysis through linked data: How country is my country?

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
f9b006ae-e59e-4607-8279-487d80419f59
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
02879140-3508-4db9-a7f4-d114421375da
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? At Sixth IEEE e–Science conference (e-Science 2010), Australia.

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? At Sixth IEEE e–Science conference (e-Science 2010), Australia.

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?".

PDF CountryCountry-escience2010-krp-20101012-02.pdf - Accepted Manuscript
Download (805kB)

More information

Submitted date: December 2010
Additional Information: Event Dates: December 2010
Venue - Dates: Sixth IEEE e–Science conference (e-Science 2010), 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
ORCID for David De Roure: ORCID iD orcid.org/0000-0001-9074-3016

Catalogue record

Date deposited: 24 Sep 2010 20:29
Last modified: 18 Jul 2017 06:41

Export record

Contributors

Author: Kevin Page
Author: Benjamin Fields
Author: Bart Nagel
Author: Gianni O'Neill
Author: David De Roure ORCID iD
Author: Tim Crawford

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×