ontologies (artificial intelligence)

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 graph theory;  matrix algebra;  ontologies (artificial intelligence);  ontology adjacency matrix;  ontology definition metamodel;  ontology evolution;  ontology reachability matrix;  ripple-effect analysis method;  Ripple-Effect Analysis;  

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.

 Data mining;  knowledge discovery;  metadata;  meta data;  ontologies (artificial intelligence);  

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