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| 181 |
Actionable Intelligence for the Warfighter
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In: DTIC (2005)
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Abstract:
Lockheed Martin Advanced Technology Laboratories (LM ATL) has researched and developed Situation Understanding technologies to provide tailored, Actionable Intelligence to the individual warfighter. Situation Understanding (SU) is a core requirement of the Future Combat Systems and programs such as the Distributed Common Ground Station Army. LM ATL has developed an SU Engine to automatically fuse multiple intelligence reports with track data into a Common Relevant Operating Picture (CROP) of the battlespace. The SU Engine augments the CROP with hypotheses as to the relationships that may exist between entities, environment, and events within the battlespace. These relationships are then used as the basis for inferring the most likely and most dangerous courses of actions that the enemy may be pursuing. The Future Force is actively trading weight for intelligence, while at the same time supporting a broader range of missions, with fewer operators and greater volumes of information. The SU Engine maintains the context of the various warfighters that the system is supporting. A warfighter's context includes location of the warfighter, the warfighter's mission, and the state of the battlespace surrounding the warfighter. The SU Engine, based on any explicit information requests provided by the warfighter combined with needs inferred by the SU Engine, dynamically composes multi-level fusion services to convert raw sensor and report data into higher level relationships and ultimately into predictions of enemy courses of action. The SU Engine can access sensor and report data from a range of sources including service-enabled net-centric systems. Services within the SU Engine are described using industry open standards augmented with semantic definitions to support just-in-time service composition. ; Presented at the Military Sensing Symposia : National Symposium on Sensor and Data Fusion held in Monterey, CA in May 2005. The original document contains color images.
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Keyword:
*DECISION SUPPORT SYSTEMS; *SITUATIONAL AWARENESS; ACTIONABLE INTELLIGENCE; Administration and Management; ARTIFICIAL INTELLIGENCE; BATTLE MANAGEMENT; CROP(COMMON RELEVANT OPERATING PICTURE); Cybernetics; DATA FUSION; Military Intelligence; Military Operations; Strategy and Tactics; SYMPOSIA
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URL: http://www.dtic.mil/docs/citations/ADA460434
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA460434
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| 182 |
Curing Analytic Pathologies: Pathways to Improved Intelligence Analysis
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In: DTIC (2005)
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| 183 |
Information Engineering in Support of Multilateral Joint Operational Interoperability
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In: DTIC (2005)
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| 184 |
Evaluating a Swedish Airborne Combat Capability using Computer Supported Morphological Analysis
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In: DTIC (2005)
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| 185 |
LOM: A Lexicon-based Ontology Mapping Tool
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In: DTIC (2004)
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| 186 |
Inferring Parts of Speech for Lexical Mappings via the Cyc KB
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In: DTIC (2004)
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| 187 |
Discriminative Slot Detection Using Kernel Methods
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In: DTIC (2004)
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| 188 |
Analysis of Free-Form Battlefield Reports with Shallow Parsing Techniques
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In: DTIC AND NTIS (2004)
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| 189 |
Grammatical Processing Using the Mechanisms of Physical Inference
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In: DTIC (2004)
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| 190 |
Robustness Versus Fidelity in Natural Language Understanding
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In: DTIC (2004)
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| 191 |
Cognitive Tools for Humanoid Robots in Space
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In: DTIC AND NTIS (2004)
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| 192 |
HITIQA: A Data Driven Approach to Interactive Analytical Question Answering
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In: DTIC (2004)
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| 194 |
The Effect of Text Difficulty on Machine Translation Performance -- A Pilot Study with ILR-Rated Texts in Spanish, Farsi, Arabic, Russian and Korean
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In: DTIC (2004)
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| 195 |
Using Model-Theoretic Invariants for Semantic Integration
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In: DTIC (2004)
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| 197 |
Conversational Telephone Speech Corpus Collection for the NIST Speaker Recognition Evaluation 2004
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In: DTIC (2004)
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| 198 |
Limited-Domain Speech-to-Speech Translation between English and Pashto
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In: DTIC (2004)
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| 199 |
Skeletons in the Parser: Using a Shallow Parser to Improve Deep Parsing
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In: DTIC (2004)
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| 200 |
From Unstructured to Structured Information in Military Intelligence - Some Steps to Improve Information Fusion
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In: DTIC (2004)
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