Ontology-Based Information Management in Music Production
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G. Fazekas, and M. Sandler, "Ontology-Based Information Management in Music Production," Paper 7665, (2009 May.). doi:
G. Fazekas, and M. Sandler, "Ontology-Based Information Management in Music Production," Paper 7665, (2009 May.). doi:
Abstract: 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.
@article{fazekas2009ontology-based,
author={fazekas, gyorgy and sandler, mark},
journal={journal of the audio engineering society},
title={ontology-based information management in music production},
year={2009},
volume={},
number={},
pages={},
doi={},
month={may},}
@article{fazekas2009ontology-based,
author={fazekas, gyorgy and sandler, mark},
journal={journal of the audio engineering society},
title={ontology-based information management in music production},
year={2009},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={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.},}
TY - paper
TI - Ontology-Based Information Management in Music Production
SP -
EP -
AU - Fazekas, Gyorgy
AU - Sandler, Mark
PY - 2009
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2009
TY - paper
TI - Ontology-Based Information Management in Music Production
SP -
EP -
AU - Fazekas, Gyorgy
AU - Sandler, Mark
PY - 2009
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2009
AB - 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.
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.
Authors:
Fazekas, Gyorgy; Sandler, Mark
Affiliation:
Queen Mary, University of London, London, UK
AES Convention:
126 (May 2009)
Paper Number:
7665
Publication Date:
May 1, 2009Import into BibTeX
Subject:
Recording, Reproduction, and Delivery
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=14861