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The intelligence community (IC) faces a dynamic network of threats. To understand and respond
to the massive volumes of information from different types and sources presents an extraordinary
challenge. Analysts perform many tasks such as: raw data collection often derived from concealed sources, in a variety
of native formats; storage of this information in numerous systems; analyze of the data; collaboration
with other IC members to draw conclusions; and the dissemination of finished intelligence to customers,
often in near-real-time. In short, analysts must "connect the dots".
Not only is the volume of information huge, but the native formats cannot easily be displayed together on
an IC user's work station, since they are often network-based (JWICS, SIPRNET, OSIS, etc), O/S-dependant
(Windows, UNIX, Linux), and application-centric (GIS, 3-D visualization, imagery tools, etc).
The data is raw; it has no semantics, and no relationships. Workers in different
departments have different views of the world, so collaboration is technically limited.
Finished intelligence products are often static and lack context.
To match the changing threat, the IC must transform its technology.
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Digital Harbor assists the IC with achieving transformation with composite applications and reports. One example of a composite application is an analyst workbench, which enables analysts to take different data sources, applications and intelligence products, and combine them such that the relationships among the different elements is clear, and the whole picture of a situation is revealed to be more than the sum of its parts. After all, it is only by placing information in context that it can be interpreted and acted upon.
Composite applications address the issues of horizontal fusion, rich visualization, and semantic
integration. According to one analyst at a major intelligence program:
"Digital Harbor starts
where our existing solutions force us to stop."
Using composite application technology,
a user can interact with a single application to view different file formats from different
networks on any operating system in the context of the mission. Analysis is easier since the pieces
of data are correlated, so a change in one application reflects changes in others.
Semantic middleware simplifies the complex relationships among people, processes, rules
and events. The result is that applications are no longer stove-piped and unaware of each
other. Instead, they are aware of how they are related to one another (they are "smart");
and they enable action in context. Other workers interacting with the same intelligence
in synchronous or asynchronous processes can view the same contextual set of information
and coordinate related people, systems, services and tasks. Finally, finished products
can be rapidly assembled in a composite report that contains all the context required
to communicate the full picture to the target audience. For example, live GIS (geo-spatial information systems) applications
replace static map-based images, data correlates in the context of the report, and the content
enables users to ask questions regarding the underlying data sources.
Digital Harbor is leveraged today in the major intelligence organizations as a key enabler of transformation,
and is seen as a valuable weapon in the fight against modern-day enemies.
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- Create a common operating picture within the entire TPED chain
- Provide multi-INT (multiple intelligence) teams with horizontal integration with horizontally-fused information
- Provide a flexible integration platform that changes the way the IC uses its apps and data
- Enable analysts and end users ask questions within applications and data to obtain real-time answers
- Obtain a single live application by linking and embedding one visualization component within another
- Distribute live, contextual reports containing real-time data and drill-anywhwere functionality
- Apply context to information to create knowledge
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| More Information & Next Steps |
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