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In information management, ontologies are used for defining concepts and relationships of a domain in question. The use of a schema permits structuring, interoperability and automatic interpretation of data, thus allows accessing information by means of complex queries. In this paper, we use ontologies to associate metadata, captured during music production, with explicit semantics. The collected data is used for finding audio clips processed in a particular way, for instance, using engineering procedures or acoustic signal features. As opposed to existing metadata standards, our system builds on the Resource Description Framework, the data model of the Semantic Web. This provides flexible and open-ended knowledge representation. Using this model, we demonstrate a framework for managing information, relevant in music production.
Author (s): Fazekas, Gyorgy; Sandler, Mark
Affiliation:
Queen Mary, University of London, London, UK
(See document for exact affiliation information.)
AES Convention: 126
Paper Number:7665
Publication Date:
2009-05-06
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Session subject:
Recording, Reproduction, and Delivery
Permalink: https://aes2.org/publications/elibrary-page/?id=14861
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Fazekas, Gyorgy; Sandler, Mark; 2009; Ontology-Based Information Management in Music Production [PDF]; Queen Mary, University of London, London, UK; Paper 7665; Available from: https://aes2.org/publications/elibrary-page/?id=14861
Fazekas, Gyorgy; Sandler, Mark; Ontology-Based Information Management in Music Production [PDF]; Queen Mary, University of London, London, UK; Paper 7665; 2009 Available: https://aes2.org/publications/elibrary-page/?id=14861