• 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