An e-Research approach to Web-scale music analysis

David De Roure, Kevin R. Page, Benjamin Fields, Tim Crawford, J. Stephen Downie, Ichiro Fujinaga

Research output: Contribution to journalArticle

Abstract

The growing quantity of digital recorded music available in large-scale resources such as the Internet archive provides an important new resource for musical analysis. An e-Research approach has been adopted in order to create a very substantive web-accessible corpus of musical analyses in a common framework for use by music scholars, students and beyond, and to establish a methodology and tooling that will enable others to add to the resource in the future. The enabling infrastructure brings together scientific workflow and Semantic Web technologies with a set of algorithms and tools for extracting features from recorded music. It has been used to deliver a prototype system, described here, that demonstrates the utility of LINKED DATA for enhancing the curation of collections of music signal data for analysis and publishing results that can be simply and readily correlated to these and other sources. This paper describes the motivation, infrastructure design and the proof-of-concept case study and reflects on emerging e-Research practice as researchers embrace the scale of the Web.

Original languageEnglish (US)
Pages (from-to)3300-3317
Number of pages18
JournalPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Volume369
Issue number1949
DOIs
StatePublished - Aug 28 2011

Fingerprint

music
Music
resources
Semantic Web
Resources
Infrastructure
Internet
Students
tooling
Scientific Workflow
semantics
students
emerging
prototypes
Prototype
methodology
Methodology
Demonstrate

Keywords

  • LINKED DATA
  • Music information retrieval
  • Musicology

ASJC Scopus subject areas

  • Mathematics(all)
  • Engineering(all)
  • Physics and Astronomy(all)

Cite this

An e-Research approach to Web-scale music analysis. / De Roure, David; Page, Kevin R.; Fields, Benjamin; Crawford, Tim; Downie, J. Stephen; Fujinaga, Ichiro.

In: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 369, No. 1949, 28.08.2011, p. 3300-3317.

Research output: Contribution to journalArticle

De Roure, David ; Page, Kevin R. ; Fields, Benjamin ; Crawford, Tim ; Downie, J. Stephen ; Fujinaga, Ichiro. / An e-Research approach to Web-scale music analysis. In: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2011 ; Vol. 369, No. 1949. pp. 3300-3317.
@article{90339322a2ff46a88278e4c6b32f3c87,
title = "An e-Research approach to Web-scale music analysis",
abstract = "The growing quantity of digital recorded music available in large-scale resources such as the Internet archive provides an important new resource for musical analysis. An e-Research approach has been adopted in order to create a very substantive web-accessible corpus of musical analyses in a common framework for use by music scholars, students and beyond, and to establish a methodology and tooling that will enable others to add to the resource in the future. The enabling infrastructure brings together scientific workflow and Semantic Web technologies with a set of algorithms and tools for extracting features from recorded music. It has been used to deliver a prototype system, described here, that demonstrates the utility of LINKED DATA for enhancing the curation of collections of music signal data for analysis and publishing results that can be simply and readily correlated to these and other sources. This paper describes the motivation, infrastructure design and the proof-of-concept case study and reflects on emerging e-Research practice as researchers embrace the scale of the Web.",
keywords = "LINKED DATA, Music information retrieval, Musicology",
author = "{De Roure}, David and Page, {Kevin R.} and Benjamin Fields and Tim Crawford and Downie, {J. Stephen} and Ichiro Fujinaga",
year = "2011",
month = "8",
day = "28",
doi = "10.1098/rsta.2011.0171",
language = "English (US)",
volume = "369",
pages = "3300--3317",
journal = "Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences",
issn = "0962-8428",
publisher = "Royal Society of London",
number = "1949",

}

TY - JOUR

T1 - An e-Research approach to Web-scale music analysis

AU - De Roure, David

AU - Page, Kevin R.

AU - Fields, Benjamin

AU - Crawford, Tim

AU - Downie, J. Stephen

AU - Fujinaga, Ichiro

PY - 2011/8/28

Y1 - 2011/8/28

N2 - The growing quantity of digital recorded music available in large-scale resources such as the Internet archive provides an important new resource for musical analysis. An e-Research approach has been adopted in order to create a very substantive web-accessible corpus of musical analyses in a common framework for use by music scholars, students and beyond, and to establish a methodology and tooling that will enable others to add to the resource in the future. The enabling infrastructure brings together scientific workflow and Semantic Web technologies with a set of algorithms and tools for extracting features from recorded music. It has been used to deliver a prototype system, described here, that demonstrates the utility of LINKED DATA for enhancing the curation of collections of music signal data for analysis and publishing results that can be simply and readily correlated to these and other sources. This paper describes the motivation, infrastructure design and the proof-of-concept case study and reflects on emerging e-Research practice as researchers embrace the scale of the Web.

AB - The growing quantity of digital recorded music available in large-scale resources such as the Internet archive provides an important new resource for musical analysis. An e-Research approach has been adopted in order to create a very substantive web-accessible corpus of musical analyses in a common framework for use by music scholars, students and beyond, and to establish a methodology and tooling that will enable others to add to the resource in the future. The enabling infrastructure brings together scientific workflow and Semantic Web technologies with a set of algorithms and tools for extracting features from recorded music. It has been used to deliver a prototype system, described here, that demonstrates the utility of LINKED DATA for enhancing the curation of collections of music signal data for analysis and publishing results that can be simply and readily correlated to these and other sources. This paper describes the motivation, infrastructure design and the proof-of-concept case study and reflects on emerging e-Research practice as researchers embrace the scale of the Web.

KW - LINKED DATA

KW - Music information retrieval

KW - Musicology

UR - http://www.scopus.com/inward/record.url?scp=80052088135&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80052088135&partnerID=8YFLogxK

U2 - 10.1098/rsta.2011.0171

DO - 10.1098/rsta.2011.0171

M3 - Article

C2 - 21768141

AN - SCOPUS:80052088135

VL - 369

SP - 3300

EP - 3317

JO - Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

JF - Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

SN - 0962-8428

IS - 1949

ER -