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Advances in both low-level and high-level fusion continue to be made at an increasingly accelerated pace. With the value of Information Fusion now being recognized as applicable to several domain problems, comes the need to develop a systematic and cohesive approach to address the Enterprise Multi-Level Fusion Lifecycle. It is no longer sufficient to advance fragmented capabilities without formal...
Databases have been an integral component of Data Fusion from the outset when the JDL model was introduced. As advances in High-Level fusion using Multi-Int data have been made, the original concept of databases as a static repository of Level 0/1 content has evolved to support heterogeneous data, and as a necessary enabler of High-Level fusion processes. Relatively recent database technologies now...
Intelligence applications exploit heterogeneous data using High-Level fusion systems to gain information superiority. Whereas Low-Level fusion systems have well established frameworks, High-Level fusion has not yet achieved the same level of maturity. Most High-Level systems implement specialized algorithms that yield useful results, albeit for a very narrow input space, and are characterized by stove-pipe...
Multi-Int Fusion Systems are complex due to the need to architect a solution that covers a broad domain space with diverse functional requirements. Consequently, some of these requirements can seem orthogonal, such as the need for real-time embedded processing for on-board platforms juxtaposed with large-scale enterprise systems comprising application servers, database farms, and service-oriented...
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