Chiliad proposes a research effort to enhance and extend its advanced software for analysis, metadata generation, dynamic knowledge discovery, real-time situation awareness, instant alerts, and task-specific collaboration from de-centralized information sources and servers distributed across an enterprise or multiple organizations. The further development and scaling of this technology will enable automatic indexing and tagging of text and multimedia intelligence documents for ease of retrieval, context sensitive summarization, and global awareness of Homeland Security information. Chiliad's recent developments with one of these agencies is pushing the technology envelope for text based analysis using concept recognition and association, Metadata generation, and correlation with structured data in a relational database, deployed to an analyst community in an operational system that is in use daily for national security applications. Specific enhancements are designed for dynamic analysis and real-time filtering across distributed repositories located on multiple decentralized host machines. These dynamic and real-time techniques are adaptive and discerning, provide capabilities for instant alerts and immediate response. Specific enhancements are targeted to further scalability testing and tuning and further refinement of techniques to merging search and analysis results effectively by relevance across distributed collections.
Benefits: Anticipated benefits include improved national security, higher personnel productivity with search and analysis tasks, more useful knowledge discovery from intelligence documents distributed across decentralized facilities, and adaptive responsiveness from continuous monitoring and filtering of information arriving over a network moment-to-moment, with automatic routing and instant alerts. The information could be intelligence of national sdecurity significance or competitive information or business intelligence. Commercial applications include government intelligence analysis applications, Workgroup collaboration, cross initiative collaboration, finding internal experts in the context of task- specific needs, analysis and sharing of best practices and lessons learned. Security classification monitoring & alerts, Counter-intelligence by individual or context intellectual property security, regulatory monitoring & compliance, business process analysis, competitor monitoring and analysis, Lifecycle management, Project tracking and monitoring.
Keywords: automatic metadata generation, tagging, knowledge discovery, analysis engine
