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
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