Aligning Music Genre Ontologies with Controlled Vocabularies

  • Authors:

  • C. J. Mitchell;D. J. E. Nunn;M. Cirstea

  • Affiliations:

  • Electronic System Modelling Lab, Department of Design and Technology, Anglia Ruskin University, East Road, Cambridge, CB1 1PT, UK, c.mitchell@anglia.ac.uk, d.j.e.nunn@anglia.ac.uk, m.cirstea@angli ...;Electronic System Modelling Lab, Department of Design and Technology, Anglia Ruskin University, East Road, Cambridge, CB1 1PT, UK, c.mitchell@anglia.ac.uk, d.j.e.nunn@anglia.ac.uk, m.cirstea@angli ...;Electronic System Modelling Lab, Department of Design and Technology, Anglia Ruskin University, East Road, Cambridge, CB1 1PT, UK, c.mitchell@anglia.ac.uk, d.j.e.nunn@anglia.ac.uk, m.cirstea@angli ...

  • Venue:
  • Proceedings of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006
  • Year:
  • 2006

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Abstract

This paper introduces the concepts and practices in aligning music genre ontologies. It establishes a technique for merging these structures and shows how the technique can increase the accuracy and reduce the computational complexity. This technique is described through the use of a practical application involving Mpeg7's controlled vocabularies, Mpeg1's id tag and two semantic web ontology languages.