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Document Indexing
Many document imaging systems store documents in an independent database. This
type of database can be problematic because the database index is simply
linked to the location where the documents are stored. As a result, the
documents cannot be transferred across multiple platforms, the system may
have compatibility issues with future software upgrades, and the user may be
bound to the original host imaging system.
An alternative is to embed labels directly in every electronic
document. With this approach, everywhere the document goes, the data
label travels with it. This is an enormous advantage because it eliminates
the need for database maintenance and the requirement to add
"meta-tags" to documents for web-enablement. An independent search
engine such as Copernic, dtSearch or Google
can also be used very efficiently with these embedded documents. Their
indexing systems simply extract the character information from the documents
and generate a separate index file from which searches are conducted. This
allows the freedom to move documents from one directory to another without
concern for database indexing. By simply rebuilding the search engine index
with the click of a mouse, all documents are ready for instant retrieval
because the embedded label moves with the document.
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