Hello cleveland! Linked data publication of live music archives

Sean Bechhofer; Kevin Page; David De Roure

doi:10.1109/WIAMIS.2013.6616155

Hello cleveland! Linked data publication of live music archives

Sean Bechhofer, Kevin Page, David De Roure

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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. © 2013 IEEE.

Original language	English
Title of host publication	International Workshop on Image Analysis for Multimedia Interactive Services\|Int. Workshop Image Analysis Multimedia Interact. Serv.
Publisher	IEEE
ISBN (Print)	9781479908332
DOIs	https://doi.org/10.1109/WIAMIS.2013.6616155
Publication status	Published - 2013
Event	2013 14th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2013 - Paris Duration: 1 Jul 2013 → …

Conference

Conference	2013 14th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2013
City	Paris
Period	1/07/13 → …

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10.1109/WIAMIS.2013.6616155

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title = "Hello cleveland! Linked data publication of live music archives",

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. {\textcopyright} 2013 IEEE.",

author = "Sean Bechhofer and Kevin Page and {De Roure}, David",

year = "2013",

doi = "10.1109/WIAMIS.2013.6616155",

language = "English",

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booktitle = "International Workshop on Image Analysis for Multimedia Interactive Services|Int. Workshop Image Analysis Multimedia Interact. Serv.",

publisher = "IEEE",

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note = "2013 14th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2013 ; Conference date: 01-07-2013",

}

Bechhofer, S, Page, K & De Roure, D 2013, Hello cleveland! Linked data publication of live music archives. in International Workshop on Image Analysis for Multimedia Interactive Services|Int. Workshop Image Analysis Multimedia Interact. Serv.. IEEE, 2013 14th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2013, Paris, 1/07/13. https://doi.org/10.1109/WIAMIS.2013.6616155

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AU - Page, Kevin

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N2 - 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. © 2013 IEEE.

AB - 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. © 2013 IEEE.

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DO - 10.1109/WIAMIS.2013.6616155

M3 - Conference contribution

SN - 9781479908332

BT - International Workshop on Image Analysis for Multimedia Interactive Services|Int. Workshop Image Analysis Multimedia Interact. Serv.

PB - IEEE

T2 - 2013 14th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2013

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Hello cleveland! Linked data publication of live music archives

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