Intelligence analysts demand rapid information fusion capabilities to develop and maintain accurate situational
awareness and understanding of dynamic enemy threats in asymmetric military operations. The ability to extract
meaning in relationships between people, objects, and locations from a variety of unstructured text datasets is critical to
proactive decision making. Additionally, the ability to automatically cluster text documents about entities and discover
connections between those documents allows the analyst to navigate an extremely large collection of documents.
Analysts also demand a temporal understanding of the extracted relationships between entities and connections between
documents. We describe approaches to automatically realize the social networks via concept extraction, relationship
extraction, and document connection algorithms; we also describe approaches to exploit the network by visualizing the
results to the analyst such that changes over time are evident.