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Automating Annotation of Media with Linked Data Workflows

Wilmering, T; Page, K; Fazekas, G; Dixon, S; Bechhofer, S

In: Proceedings of the 24th International Conference on World Wide Web Companion : WWW 2015 Companion; 18 May 2015-22 May 2015; Florence, Italy. 24th International World Wide Web Conference; 2015. p. 737-738.

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Abstract

Computational feature extraction provides one means of gathering structured analytic metadata for large media collections. We demonstrate a suite of tools we have developed that automate the process of feature extraction from audio in the Internet Archive. The system constructs an RDF description of the analysis workflow and results which is then reconciled and combined with Linked Data about the recorded performance. This Linked Data and provenance information provides the bridging information necessary to employ analytic output in the generation of structured metadata for the underlying media files, with all data published within thesame description framework.

Bibliographic metadata

Type of resource:
Content type:
Type of conference contribution:
Publication date:
Conference title:
WWW 2015 Companion
Conference venue:
Florence, Italy
Conference start date:
2015-05-18
Conference end date:
2015-05-22
Proceedings start page:
737
Proceedings end page:
738
Proceedings pagination:
737-738
Contribution total pages:
2
Abstract:
Computational feature extraction provides one means of gathering structured analytic metadata for large media collections. We demonstrate a suite of tools we have developed that automate the process of feature extraction from audio in the Internet Archive. The system constructs an RDF description of the analysis workflow and results which is then reconciled and combined with Linked Data about the recorded performance. This Linked Data and provenance information provides the bridging information necessary to employ analytic output in the generation of structured metadata for the underlying media files, with all data published within thesame description framework.
Digtial Object Identifier:
10.1145/2740908.2742913
Proceedings' ISBN:
978-1-4503-3473-0
General notes:
  • Accepted 25/02/2015

Institutional metadata

University researcher(s):

Record metadata

Manchester eScholar ID:
uk-ac-man-scw:269611
Created by:
Bentley, Hazel
Created:
29th July, 2015, 11:16:01
Last modified by:
Bentley, Hazel
Last modified:
29th July, 2015, 11:16:01

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