Technological Advance Most Influencing National Term Paper

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From the first generations of this technology to its current iteration, latent semantic indexing is proving valuable for tying together seemingly unrelated events through the use of linguistic modeling and probability theory. Determining the scope, relative urgency or lack thereof, and the potential threat internationally all can be ascertained through the parsing of unstructured content obtained from surveillance. Using this technology it is going to be possible to outsmart terrorists before they strike, replicating their knowledge network to an extent they themselves are not even aware of. In this respect, knowledge becomes a major deterrent by being able to understand how terrorists make decisions and thwart their actions before they can ever begin. Speed and closure of security strategies based on this level of knowledge is nearly impossible for an adversary to respond to, hence its potency for battling terrorism globally. Determining context and its role in defining linguistic modeling has significant potential for diffusing security threats before they ever get past their planning stages.

References

Michael Cooney "Prototype software sniffs out insider threats." Network World, February 25, 2008, 46. http://www.proquest.com...

...

Ding "A probabilistic model for Latent Semantic Indexing." Journal of the American Society for Information Science and Technology 56, no. 6 (April 1, 2005): 597-608. http://www.proquest.com (Accessed April 28, 2008).
David Guo, Michael W. Berry, Bryan B. Thompson, Sidney Bailin. "Knowledge-Enhanced Latent Semantic Indexing." Information Retrieval 6, no. 2 (April 1, 2003): 225-250. http://www.proquest.com (Accessed April 28, 2008).

April Kontostathis, William M. Pottenger'. "A framework for understanding Latent Semantic Indexing (LSI) performance."

Information Processing & Management 42, no. 1 (January 1, 2006): 56-73. http://www.proquest.com (Accessed April 28, 2008).

Tom Rishel, Louise a Perkins, Sumanth Yenduri, Farnaz Zand. "Determining the context of text using augmented latent semantic indexing." Journal of the American Society for Information Science and Technology 58, no. 14 (December 1, 2007): 2197. http://www.proquest.com (Accessed April 28, 2008).

Endnotes

Guo, Berry, Thompson, Bailin, 227, 228) (Rishel, Perkins, Yenduri, Zand, 2197)

Cooney, 46)

Kontostathis, Pottenger, 56,…

Sources Used in Documents:

References

Michael Cooney "Prototype software sniffs out insider threats." Network World, February 25, 2008, 46. http://www.proquest.com (Accessed April 28, 2008).

Chris H.Q. Ding "A probabilistic model for Latent Semantic Indexing." Journal of the American Society for Information Science and Technology 56, no. 6 (April 1, 2005): 597-608. http://www.proquest.com (Accessed April 28, 2008).

David Guo, Michael W. Berry, Bryan B. Thompson, Sidney Bailin. "Knowledge-Enhanced Latent Semantic Indexing." Information Retrieval 6, no. 2 (April 1, 2003): 225-250. http://www.proquest.com (Accessed April 28, 2008).

April Kontostathis, William M. Pottenger'. "A framework for understanding Latent Semantic Indexing (LSI) performance."
Information Processing & Management 42, no. 1 (January 1, 2006): 56-73. http://www.proquest.com (Accessed April 28, 2008).
Tom Rishel, Louise a Perkins, Sumanth Yenduri, Farnaz Zand. "Determining the context of text using augmented latent semantic indexing." Journal of the American Society for Information Science and Technology 58, no. 14 (December 1, 2007): 2197. http://www.proquest.com (Accessed April 28, 2008).


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