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Knowledge Representation Issues in Audio-Related Metadata Model Design

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.

Authors: Fazekas, György; Sandler, Mark B.
Affiliation: Queen Mary University of London, London, UK
AES Convention:133 (October 2012) Paper Number:8765 Import into BibTeX
Subject:Sound Analysis and Synthesis

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