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Using Target Network Modelling to Increase Battlespace Agility
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In: DTIC (2013)
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Enabling Efficient Intelligence Analysis in Degraded Environments
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In: DTIC (2013)
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An Approach Using MIP Products for the Development of the Coalition Battle Management Language Standard
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In: DTIC (2013)
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KEYNOTE 2 : Rebuilding the Tower of Babel - Better Communication with Standards
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In: DTIC (2013)
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Interacting with Multi-Robot Systems Using BML
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In: DTIC (2013)
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| 7 |
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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| 8 |
Semantic Analysis of Military Relevant Texts for Intelligence Purposes
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In: DTIC (2011)
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| 9 |
Multilingual Content Extraction Extended with Background Knowledge for Military Intelligence
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In: DTIC (2011)
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| 11 |
Intelligence Base: Strategic Instrument of an Organisation
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In: DTIC (2006)
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| 12 |
The European Server for Ionospheric Specification and Forecasting: Final Results from DIAS Project
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In: DTIC (2006)
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| 14 |
Analysis of Free-Form Battlefield Reports with Shallow Parsing Techniques
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In: DTIC AND NTIS (2004)
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| 15 |
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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| 16 |
The IST-05 Reference Model in Evaluation and Design
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In: DTIC AND NTIS (2004)
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| 17 |
The Case for Using Semantic Nets as a Convergence Format for Symbolic Information Fusion
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In: DTIC AND NTIS (2004)
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Abstract:
People have to deal with an impressive continuum of representations, from fully numeric and structured to totally textual and unstructured. Solving this situation of heterogeneity is a prerequisite to information fusion processes and algorithms. However, in the human brain, the distinction between structured and unstructured data simply does not exist. Humans are easily able to merge information coming from heterogeneous sources. How can computers mimic this extraordinary capability? The solution is to represent information in machines in a way that is similar to the way it is represented in the human brain. This subject was studied for years in the field of Artificial Intelligence, and, as early as the 1950s, the concept of Semantic Nets arrived to meet this challenge. Semantic Nets are an extremely efficient and human friendly way of representing complex information. The authors started developing and using a tool dedicated to the management of Semantic Nets in the early 1990s. Their first experiments with Ideliance showed that Semantic Nets can play an important role in Symbolic Intelligence Fusion. Transforming and merging heterogeneous information from various formats (databases, tables, messages, texts) into a unique format (what they call Format Fusion) is a good basis for Intelligence Fusion. First, it offers an efficient support for "manual" seamless inspection and navigation of the whole set of information. Second, it becomes a material upon which powerful data analysis (distance and cluster computation) can be performed. They call this process "Litteratus Calculus." Their conjecture is that the objects resulting from this analysis form the backbone of the Intelligence Fusion process, which, ultimately, is the domain of human decision. Twenty-two briefing charts summarize the presentation. ; See also ADM001673. Published in RTO-MP-IST-040. Presented at the Information Systems Technology Panel (IST) symposium on "Military Data and Information Fusion (La fusion des informations et de donnes militaires)" held in Prague, Czech Republic, on 20-22 Oct 2003. The original document contains color images.
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Keyword:
*ARTIFICIAL INTELLIGENCE; *AUTOMATION; *DATA FUSION; *INTELLIGENCE(HUMANS); *SEMANTIC NETS; *SEMANTICS; *SYMBOLIC INFORMATION FUSION; BRIEFING CHARTS; COMPONENT REPORTS; COMPUTER PROGRAMS; CONVERGENCE; Cybernetics; CZECH REPUBLIC; DATA ANALYSIS; DATA PROCESSING; DECISION MAKING; FOREIGN REPORTS; FRANCE; IDELIANCE COMPUTER PROGRAM; Information Science; Linguistics; MACHINE TRANSLATION; NATO FURNISHED; NATURAL LANGUAGE; SYMBOLS; SYMPOSIA; TEXT MINING
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URL: http://www.dtic.mil/docs/citations/ADA428706
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA428706
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| 18 |
Ontological Approach to Military Knowledge Modeling and Management
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In: DTIC AND NTIS (2004)
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