DocumentCode
3200596
Title
The segment ontology: Bridging music-generic and domain-specific
Author
Fields, Ben ; Page, Kevin ; De Roure, David ; Crawford, Tim
Author_Institution
Electron. & Comput. Sci., Univ. of Southampton, Southampton, UK
fYear
2011
fDate
11-15 July 2011
Firstpage
1
Lastpage
6
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 overtime; we present a Segment Ontology as the backbone of an approach that models proper ties from the musicological domain independently from MIR implementations and their signal processing foundations, whilst maintaining an accurate and complete description of the relationships linking them. This framework provides two principal advantages which we explore 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.
Keywords
information retrieval; music; ontologies (artificial intelligence); MIR task; domain specific; information retrieval; music analysis; music generic; musicological domain; segment axis; segment ontology; signal processing foundations; Algorithm design and analysis; Analytical models; Bridges; Data models; Music; Ontologies; Taxonomy; Data Modeling; Music Analysis; RDF-OWL; Segmentation; Structural Analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Expo (ICME), 2011 IEEE International Conference on
Conference_Location
Barcelona
ISSN
1945-7871
Print_ISBN
978-1-61284-348-3
Electronic_ISBN
1945-7871
Type
conf
DOI
10.1109/ICME.2011.6012204
Filename
6012204
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