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
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;
Conference_Titel :
Multimedia and Expo (ICME), 2011 IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-61284-348-3
Electronic_ISBN :
1945-7871
DOI :
10.1109/ICME.2011.6012204