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The Segment Ontology: Bridging Music-generic and Domain-specific

The Segment Ontology: Bridging Music-generic and Domain-specific
The Segment Ontology: Bridging Music-generic and Domain-specific
Existing semantic representations of music analysis encapsulate narrow sub-domain concepts and are frequently scoped by the context of a particular MIR task. Segmentation is a crucial abstraction in the investigation of phenomena which unfold over time; we present a Segment Ontology as the backbone of an approach that models properties from the musicological domain independently from MIR implementations and their signal processing foundations, whilst maintaining an accurate and complete description of the relationships that link them. This framework provides two principal advantages which are explored through several examples: a layered separation of concerns that aligns the model with the needs of the users and systems that consume and produce the data; and the ability to link multiple analyses of differing types through transforms to and from the Segment axis.
Fields, Benjamin
e56162d4-09cb-444f-86c2-9bcfef5114a2
Page, Kevin
f9b006ae-e59e-4607-8279-487d80419f59
De Roure, David
02879140-3508-4db9-a7f4-d114421375da
Crawford, Tim
ebe3201d-d55d-45fb-913a-ff5d55d8e62b
Fields, Benjamin
e56162d4-09cb-444f-86c2-9bcfef5114a2
Page, Kevin
f9b006ae-e59e-4607-8279-487d80419f59
De Roure, David
02879140-3508-4db9-a7f4-d114421375da
Crawford, Tim
ebe3201d-d55d-45fb-913a-ff5d55d8e62b

Fields, Benjamin, Page, Kevin, De Roure, David and Crawford, Tim (2011) The Segment Ontology: Bridging Music-generic and Domain-specific. 3rd International Workshop on Advances in Music Information Research (AdMIRe), IEEE International Conference on Multimedia and Expo (ICME), Barcelona, Spain.

Record type: Conference or Workshop Item (Paper)

Abstract

Existing semantic representations of music analysis encapsulate narrow sub-domain concepts and are frequently scoped by the context of a particular MIR task. Segmentation is a crucial abstraction in the investigation of phenomena which unfold over time; we present a Segment Ontology as the backbone of an approach that models properties from the musicological domain independently from MIR implementations and their signal processing foundations, whilst maintaining an accurate and complete description of the relationships that link them. This framework provides two principal advantages which are explored through several examples: a layered separation of concerns that aligns the model with the needs of the users and systems that consume and produce the data; and the ability to link multiple analyses of differing types through transforms to and from the Segment axis.

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More information

Published date: July 2011
Additional Information: Event Dates: 15/07/2011
Venue - Dates: 3rd International Workshop on Advances in Music Information Research (AdMIRe), IEEE International Conference on Multimedia and Expo (ICME), Barcelona, Spain, 2011-07-15
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 272698
URI: http://eprints.soton.ac.uk/id/eprint/272698
PURE UUID: 7d983368-0495-4789-a02f-1ea0fc44592a
ORCID for David De Roure: ORCID iD orcid.org/0000-0001-9074-3016

Catalogue record

Date deposited: 23 Aug 2011 16:29
Last modified: 14 Mar 2024 10:08

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Contributors

Author: Benjamin Fields
Author: Kevin Page
Author: David De Roure ORCID iD
Author: Tim Crawford

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