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In April 2016 Manchester eScholar was replaced by the University of Manchester’s new Research Information Management System, Pure. In the autumn the University’s research outputs will be available to search and browse via a new Research Portal. Until then the University’s full publication record can be accessed via a temporary portal and the old eScholar content is available to search and browse via this archive.

Hello Cleveland! Linked Data Publication of Live Music Archives

Sean Bechhofer, Kevin Page, David De Roure

In: 14th International Workshop on Image and Audio Analysis for Multimedia Interactive Services; 03 Jul 2013-05 Jul 2013; Paris, France. IEEE; 2013.

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Abstract

We describe the publication of a linked data set exposing meta- data from the Internet Archive Live Music Archive. The dataset contains over 17,000,000 triples describing 100,000 performances by 4,000 artists. Links to other existing musical and geographical resources facilitate query of the collection along a number of axes. We describe both the methods used to annotate and layer the metadata—with a focus on considering the patterns used to represent mappings—and the role that views constructed from such a Linked Data set can play to bring together multidisciplinary multimedia analysis techniques.

Bibliographic metadata

Type of resource:
Content type:
Conference contribution
Type of conference contribution:
Conference paper (reviewed)
Conference contribution title:
Hello Cleveland! Linked Data Publication of Live Music Archives
Publication date:
2013-07
Author(s) list:
Sean Bechhofer, Kevin Page, David De Roure
Conference title:
14th International Workshop on Image and Audio Analysis for Multimedia Interactive Services
Conference venue:
Paris, France
Conference start date:
2013-07-03
Conference end date:
2013-07-05
Publisher:
IEEE
Abstract:
We describe the publication of a linked data set exposing meta- data from the Internet Archive Live Music Archive. The dataset contains over 17,000,000 triples describing 100,000 performances by 4,000 artists. Links to other existing musical and geographical resources facilitate query of the collection along a number of axes. We describe both the methods used to annotate and layer the metadata—with a focus on considering the patterns used to represent mappings—and the role that views constructed from such a Linked Data set can play to bring together multidisciplinary multimedia analysis techniques.

Institutional metadata

University researcher(s):
Academic department(s):

Record metadata

Manchester eScholar ID:
uk-ac-man-scw:208440
Created by:
Bechhofer, Sean
Created:
24th September, 2013, 08:11:41
Last modified by:
Bechhofer, Sean
Last modified:
24th September, 2013, 08:11:41