Layered Multi-Modal Network Analysis of Textual Data for Improved Situation Awareness

A team of researchers at the Air Force Research Laboratory's Information Directorate investigated combining multiple textual databases that consist of relational data to determine from different data networks if there is an improvement in a user's situation awareness. Currently, users manually process heterogeneous data types and are required to make mental correlations to merge databases and derive patterns in space and time across the different network types. This is because the vast majority of this data does not exist independently, as much of it is related and connected across networks.

Provided by: Universidad Nacional de General Sarmiento Topic: Networking Date Added: May 2011 Format: PDF

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