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In order for audio applications to interoperate, some agreement on how information is structured and encoded has to be in place within developer and user communities. This agreement can take the form of an industry standard or a widely adapted open framework consisting of conceptual data models expressed using formal description languages. There are several viable approaches to conceptualize audio related metadata, and several ways to describe the conceptual models, as well as encode and exchange information. While emerging standards have already been proven invaluable in audio information management, it remains difficult to design or choose the model that is most appropriate for an application. This paper facilitates this process by providing an overview, focusing on differences in conceptual models underlying audio metadata schemata.
Author (s): Fazekas, György;
Sandler, Mark B.;
Affiliation:
Queen Mary University of London, London, UK
(See document for exact affiliation information.)
AES Convention: 133
Paper Number:8765
Publication Date:
2012-10-06
Session subject:
Sound Analysis and Synthesis
DOI:
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Fazekas, György; Sandler, Mark B.; 2012; Knowledge Representation Issues in Audio-Related Metadata Model Design [PDF]; Queen Mary University of London, London, UK; Paper 8765; Available from: https://aes.org/publications/elibrary-page/?id=16507
Fazekas, György; Sandler, Mark B.; Knowledge Representation Issues in Audio-Related Metadata Model Design [PDF]; Queen Mary University of London, London, UK; Paper 8765; 2012 Available: https://aes.org/publications/elibrary-page/?id=16507
@inproceedings{Fazekas2012knowledge,
title={{Knowledge Representation Issues in Audio-Related Metadata Model Design}},
author={Fazekas, György and Sandler, Mark B.},
year={2012},
month={oct},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 8765; AES Convention 133; October 2012},
number={8765},
organization={AES},
}
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