A resource would be
similar to an asset with the exception that resources come from outside of the organizational
walls. Resources could include research services, Web services, and packaged models.
Enterprise business intelligence (EBI) is built upon this foundation of assets.
Figure 1. Extended metadata landscape
Stephens
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Structural.Metadata
Structural metadata (Layer 2) is the category where the context-specific meta-model information
will be stored and knowledge is codified. Each type of asset, as well as the context
of the asset, will have different data collection points. Static databases will have different
metadata components from the logical view of the data, which will be different than the
transformation of that data from one source to another. At the heart of any repository is the
core constructs that make up the meta-model. The meta-model is simply the elements that
are used to describe the asset. The same principles that exist for an entity-relationship model
apply to a meta-model as well. While we indicate entity-relationship (ER) diagramming
as the technique, any modeling type language could work: Universal Markup Language
(UML) diagrams, class-objects, and so forth.
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