• DocumentCode
    2000991
  • Title

    Three dogmas of metadata and undiscovered knowledge

  • Author

    Butler, Alun R.

  • Author_Institution
    Greenwich Univ., London, UK
  • fYear
    2005
  • fDate
    22-26 Aug. 2005
  • Firstpage
    744
  • Lastpage
    748
  • Abstract
    The prevalence of metadata and technologies supporting metadata have failed to achieve their anticipated objectives (shared data, loose coupling, productivity, intelligence) because they represent an unrealistic, or at least incomplete, picture of the concept "metadata". Three emergent assumptions typically adopted by designers using metadata are identified, assumptions that contain the seeds of the inevitable failure of such designs. We also suggest a number of methodologies to extricate the architect (and more critically, partner architects) from such dogma.
  • Keywords
    data mining; meta data; ontologies (artificial intelligence); data mining; knowledge discovery; metadata; Conferences; Costs; Databases; Expert systems; Heart; OWL; Ontologies; Productivity; Resource description framework; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications, 2005. Proceedings. Sixteenth International Workshop on
  • ISSN
    1529-4188
  • Print_ISBN
    0-7695-2424-9
  • Type

    conf

  • DOI
    10.1109/DEXA.2005.186
  • Filename
    1508362