Examples of structured data include XML structures, taxonomies,
airline schedules, parts catalogs, and customer information. Information that can be
classified in a structured format has a defined format that can be easily stored in databases,
typically linked together by logical relationships like keys or indices. On the other end of
the spectrum where information cannot be easily classified under the structured umbrella is
Enterpr se Metadata for Rel able Web Appl cat ons
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information classified as unstructured. Examples of unstructured data include documentation,
contracts, and video. The reality is that there is really no such thing as pure structure
nor pure un-structure, for that matter. Figure 2 provides a view of how data moves from a
structured format to the unstructured information held within the organization.
The issue that must be addressed is the integration of these different types of information formats.
By definition, information stored within a repository is structured since that information
is stored in databases and defined by the meta-model.
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