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 MARCIM (US Marine Corps Civil Information Management) is a suite of software used for civil information management. MARCIM Semantic Wiki enables users to share, organize, visualize, and analyze field-collected data to support Civil Military Operations (CMO).  learn more |  Commander's Learning Agent (CLearn) is a software agent that passively monitors user behavior and discovers the patterns in the background, and offers to assist the user in the real-time inference mode. learn more |  The objective of CIMIA is to develop a structured process and technology that provides decision makers with context-specific, real-time situational awareness regarding the status of critical information resources. learn more |
 DPLAN is a Decision-Theoretic Planning System for Air Operations that addresses a fundamental requirement common to all air operations, that is the need to effectively operate in a multidimensional operating environment involving multi-mission, multi-target, and multi-threat situations requiring the ability to dynamically re-plan missions and determine the most effective routes in flight. learn more |  Since traditional peer review employed by scientific technical libraries does not exist for user generated content from blogs, podcasts and videos, we offer a solution for incorporating Web 2.0 content into scientific libraries by developing a model for authority in Web 2.0 content and an algorithm for combined relevance/authority search with user defined weightings. learn more |  In this project we are developing a semantic wiki for the complex operations community. The Semantic Wiki for Complex Operations is a tool that supports the integration of quantitative data, qualitative facts and relationships, including social science knowledge and social network graphs, relevant for ongoing operations. learn more |
 The SNARC Semantic Wiki provides a structured knowledge base from which users can document their datasets and analytical products, providing a rich repository of social-cultural human terrain and social network information for collaborative knowledge sharing in support of the Information Dominance Center, ISAF Joint Command. learn more |  Timely processing of raw Earth science data for calibration and validation in a highly distributed and networked environment, and its storage at Distributed Active Archive Centers (DAACs) for presentation to the global scientific community is critical to NASA’s Earth Sciences mission. Our solution to this challenge is to use emerging stream processing engine technology to build Earth science data processing applications. learn more |
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