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An Assessment of the Ability of the U.S. Department of Defense and the Services to Measure and Track Language and Culture Training and Capabilities Among General Purpose Forces
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In: DTIC (2012)
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22 |
Users' Manual and Validation of the Automated Grading System (AGS): Improving the Quality of Intelligence Summaries Using Feedback from an Unsupervised Model of Semantics
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In: DTIC (2012)
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23 |
Conference Report: Cultural and Linguistic Advancement for Mission Success: Enhancing Language, Regional and Cultural Capabilities Across Whole of Government for an Effective COIN Strategy
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In: DTIC (2012)
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24 |
Adding a Capability to Extract Sentiment from Text Using HanDles
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In: DTIC (2012)
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25 |
Capability Challenges in the Human Domain for Intelligence Analysis: Report on Community-Wide Discussions with Canadian Intelligence Professionals
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In: DTIC (2012)
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26 |
Compressed Domain Automatic Level Control Based on ITU-T G.722.2
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In: DTIC (2012)
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27 |
Trends in Human-Computer Interaction to Support Future Intelligence Analysis Capabilities
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In: DTIC (2011)
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28 |
Visual Analytics in Public Safety: Example Capabilities for Example Government Agencies
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In: DTIC (2011)
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29 |
An Intelligence Process Model Based on a Collaborative Approach
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In: DTIC (2011)
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Abstract:
In the intelligence domain, the collection and processing of information and intelligence from multiple Intelligence, Surveillance and Reconnaissance (ISR) sources (including sensors, human, open sources, etc.) is essential to produce actionable intelligence of high value in order to counter threat. In current practice, the outputs of different sources are more often separated from one another and thus, cross-checking is limited. Further, the traditional intelligence cycle model lacks in representing the process from an all-source perspective. In this paper, we propose an all-source intelligence process model that represents elements of the intelligence process from an all-source perspective. The proposed model is composed of several activities and processes: intelligence tasking; direction; single source collection & processing; all-source discovery & fusion; dissemination; and evaluation & feedback. Three levels of detail of the model are provided. The proposed model presumes a collaborative approach that enables the analysis of a greater quantity of single source data by sharing analysis tasks and results between all actors from different military and non-military intelligence organizations. In addition, this paper discusses the issues and challenges to the effectiveness of all-source intelligence model and presents factors that enable such a collaborative approach. ; Presented at the International Command and Control Research and Technology Symposium (16th) held in Quebec City, Canada on 21-23 June 2011. Published in the Proceedings of the International Command and Control Research and Technology Symposium (16th), paper no. 113, June 2011.
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Keyword:
*MILITARY INTELLIGENCE; CANADA; COLLABORATION; FOREIGN REPORTS; INFORMATION PROCESSING; Military Intelligence; MILITARY ORGANIZATIONS; SYMPOSIA
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URL: http://www.dtic.mil/docs/citations/ADA547105 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA547105
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30 |
A Concept Map Knowledge Model of Intelligence Analysis
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In: DTIC (2011)
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31 |
Multiple Detection Probabilistic Data Association Filter for Multistatic Target Tracking
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In: DTIC (2011)
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32 |
A Smarter Common Operational Picture: The Application of Abstraction Hierarchies to Naval Command and Control
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In: DTIC (2011)
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33 |
Cognitive Activation Theory of Stress (CATS)
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In: DTIC (2011)
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34 |
Towards a Semiotic Information Position Framework for Network Centric Warfare
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In: DTIC (2011)
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35 |
Semantic Analysis of Military Relevant Texts for Intelligence Purposes
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In: DTIC (2011)
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Multilingual Content Extraction Extended with Background Knowledge for Military Intelligence
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In: DTIC (2011)
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37 |
Related Entity Finding: University of Waterloo at TREC 2010 Entity Track
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In: DTIC (2010)
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Speech Understanding in Noise in the Bison Command, Control, Communications and Intelligence (C3I) Mobile Command Post (MCP)
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In: DTIC (2010)
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Entity Profiling for Intelligence Using the Graphical Overview of Social and Semantic Interactions of People (GOSSIP) Software Tool
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In: DTIC (2010)
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Issues in Intelligence Production: Summary of Interviews with Canadian Managers of Intelligence Analysts
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In: DTIC (2010)
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