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Enhancing Mental Readiness in Military Personnel
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In: DTIC (2006)
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| 2 |
The European Server for Ionospheric Specification and Forecasting: Final Results from DIAS Project
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In: DTIC (2006)
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Comment ameliorer la selection et le traitement des messages verbaux? (How to Improve the Selection and Processing of Verbal Messages)
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In: DTIC (2005)
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Evaluation of Speech Synthesis Systems using the Speech Reception Threshold Methodology
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In: DTIC (2005)
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| 6 |
Objective Measurement of the Speech Transmission Quality of Vocoders by Means of the Speech Transmission Index
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In: DTIC (2005)
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| 7 |
Information Engineering in Support of Multilateral Joint Operational Interoperability
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In: DTIC (2005)
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| 8 |
Analysis of Free-Form Battlefield Reports with Shallow Parsing Techniques
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In: DTIC AND NTIS (2004)
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| 9 |
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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| 10 |
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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| 11 |
Electronic Information Management and Intellectual Property Rights
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In: DTIC AND NTIS (2004)
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| 12 |
Ontological Approach to Military Knowledge Modeling and Management
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In: DTIC AND NTIS (2004)
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| 13 |
Some Psycho-Physiological and Cognitive Implications of Hypobaric Exposure during Selection of Slovak Astronaut Candidates
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In: DTIC AND NTIS (2001)
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| 14 |
Towards Multilingual Interoperability in Automatic Speech Recognition
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In: DTIC (2000)
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| 15 |
Clustering of Context Dependent Speech Units for Multilingual Speech Recognition
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In: DTIC (2000)
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| 16 |
Speech Intelligibility of Native and Non-Native Speech
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In: DTIC (2000)
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| 17 |
Auditory Features Underlying Cross-Language Human Capabilities in Stop Consonant Discrimination
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In: DTIC (2000)
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| 18 |
Vowel System Modeling: A Complement to Phonetic Modeling in Language Identification
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In: DTIC (2000)
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| 19 |
Comparing Three Methods to Create Multilingual Phone Models for Vocabulary Independent Speech Recognition Tasks
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In: DTIC (2000)
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| 20 |
Speech Recognition of Non-Native Speech Using Native and Non-Native Acoustic Models
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In: DTIC (2000)
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