I have implemented Hummingbird DM and RM for numerous clients, several of
whom use the Full Text indexing on their scanned documents.

The biggest issue with the Indexes in general is the drive space that they
consume. Hummingbird recommends anywhere from 60% to 100 % of the disk space
that is used for document storage to be set aside for the indexes.

The next biggest issue is OCR and QA. If the OCR process is not very
accurate and/or the QA process is not very efficient, the old adage garbage
in garbage out applies. If the OCR doesn't properly recognize the
characters, the words can't be properly indexed.

The other issue is that the Indexes are prone to corruption, so in my
designs I always create two Indexes on each library, so if one gets
corrupted, I can switch the back up into production while the corrupted
index is rebuilt. In many implementations there are also two Indexers (or
more) for FOLB. This doubles (or more) the disk space needed for indexes.

This one may be obvious, but I mention it just in case: If you are not doing
OCR on the images, there won't be anything for the Indexer to index except
for the Meta Data hence no "Full Text" indexing.

Feel free to contact me directly if you have additional questions.

Brent
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-----Original Message-----
From: Records Management Program [mailto:[log in to unmask]] On Behalf
Of Records Management
Sent: Thursday, May 03, 2007 3:06 PM
To: [log in to unmask]
Subject: Full Text Indexing

Aloha All,

I was asked by a department manager whether anyone uses "full-text"
indexing for their document imaging system...

I would be interested to know if anyone does and what type of problems
they have encountered...

Mahalo for your feedback...

Brian 


Brian A. Moriki
Assistant Vice President
Records Management Department
First Hawaiian Bank
808-844-3056
808-265-7449 (cell)
808-844-3494 (fax)
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***FHB RECORDS MANAGEMENT DEPARTMENT: WE SAY YES!!!*** 

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