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
Link To Document :
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