Improve Interoperability by Formalizing the Natural Language Parts of Military Messages

Due to the new military operations other than war, the extent of the natural language parts in formalized military messages increases. In order to guarantee further automatic interoperability between different C4ISR systems three problems must be solved. First, the natural language text must be auto...

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Bibliographic Details
Main Author: Hecking, Matthias
Format: Report
Language:English
Subjects:
C4ISR(COMMAND-CONTROL-COMMUNICATIONS-INTEL-SURVEIL-RECONN)
COMMAND AND CONTROL SYSTEMS
FEATURE EXTRACTION
FOREIGN REPORTS
GERMANY
INFORMATION EXTRACTION
INFORMATION RETRIEVAL
Information Science
INTEROPERABILITY
MESSAGE PROCESSING
Military Operations, Strategy and Tactics
NATO FURNISHED
NATURAL LANGUAGE
OPERATIONS OTHER THAN WAR
SYMPOSIA
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Summary:Due to the new military operations other than war, the extent of the natural language parts in formalized military messages increases. In order to guarantee further automatic interoperability between different C4ISR systems three problems must be solved. First, the natural language text must be automatically transformed into a formal structure, which represents the meaning of the text. Second, the formal structure must be exchanged between the different C4ISR systems. And third, the representation of the meaning must be automatically inserted into the C4ISR database. In this paper, we show that Information Extraction techniques can be used as a possible solution to the first sub problem. As the formal structure for representing the meaning we use typed feature structures. Presented at the Meeting on Coalition C4ISR Architectures and Information Exchange Capabilities (Les architectures C4ISR et les capacites d'echange d'information en coalition), held in The Hague, The Netherlands, on 27-28 Sep 2004. Published in the Proceedings of the Meeting, p17-1 through 17-16, 2004. Document includes briefing charts in addition to text. See also ADM202135, RTO-MP-IST-042. The original document contains color images.