Spherical Indexing: Thinking Outside of the OLAP Cube |
Written by Joshua Konkle
Wednesday, 30 April 2008
|
Concept
search is the ability to associate concepts between emails and other data
structures. More information on concept search and spherical indexing is
at www.estorian.com/blog. For
example, "doing business with someone in Los Angeles" is a concept. An
email about the "weather in Los Angeles"
would not be included in the concept of "business in Los Angeles." In early case
assessment, you may need to retrieve all email and documents related to 10
custodians and business they did in Los
Angeles. The result may yield several new
custodians and other business related concepts to evaluate. Counting on
your users to remember details from a meeting in 2006 while in Los Angeles may yield little if any
information.
Individual memory and recognition generally suffers from two academic
principals outlined in the seminar "Search and Information Retrieval".
The first principal is "precision"; it defines ones ability to
correctly identify content. The second is "recall"; it defines
the capability to regularly identify new content within the same grouping as
the first piece of content. Individuals often have difficulty identifying
a proper category for content, and then subsequently pooling new content into
the same category. Expecting users to remember emails from partners,
customers and coworkers within a specific group for early case assessment will
be a lesson in "missed expectations" and can be costly in terms of
legal risk.
Estorian LookingGlass
uses a multi-step process to ensure your email data and attachments are at the
ready for exploration and early case assessment. The multi-step process
results in individual overlapping SQL tables. The multi-step process
includes interception, pre-process, parsing, filtering, word stem'ing, and the
addition of data to the LookingGlass metabase. Due to the confidential
nature of these steps we can not expand on the internal activity.
However, the system of tables in SQL is very stable and easily recoverable
according to Ron Higgins, Chief Strategy Officer.
Higgins cites an example with a client where the server hosting the
LookingGlass SQL system was brought down due to a virus. The client was
required to reinstall SQL and they simply reattached the database to the SQL
server. While the SQL server was offline, the LookingGlass interception
process continued to gather email in the interceptor queue, resulting in over
fifty thousand messages buffered. Although the system was offline, the
indexing continued to build from the endpoint of the previous failure.
If you are facing legal risk and you need to evaluate your email during the
collection and preservation phase, LookingGlass offers an immutable storage
system with expansive search capabilities built on a Spherical Indexing
system. Spherical Indexing encourages you to beyond fixed Boolean
searches. Expand your legal risk management system to include 360 degree
custodian and concept evaluation by using Estorian LookingGlass and Spherical
Indexing. Article Source: http://www.ArticleBlast.com |
About The Author:
Joshua Konkle is Vice President at DCIG Inc., an independent storage analyst and consulting firm. Mr. Konkle has been a business advisor for Estorian since September 2006.
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