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2003
Conference Paper
Titel
Towards an ontology for army battle C2 systems
Abstract
The analysis of battle field reports by a system can result in an update of a corresponding data base and the actualization of the map of the battlefield. These kinds of automations speed up the C2 process and reduce the amount of data the command posts' staffs have to process themselves. Such a system should include an ontology component for semantic processing, especially if the reports to be analyzed are given in natural language. The ontology should be based on expert knowledge of the domain in question, the battle field. This knowledge is partly captured in military data models which therefore can be exploited for the ontology's development. However, the ontology has to have additional resources in order to meet its requirements, i.e. to tackle the problems of vagueness, ellipsis, and ambiguity. Additional knowledge must be represented, and algorithms for reasoning and association processes have to be included as well.