Intelligent situation cognition method based on activity semantic text message

Abstract

The invention provides an intelligent situation cognition method based on an active semantic text message, and belongs to the field of confrontation semantic situation cognition. By analyzing behavior state semantic message data describing situation elements, deep situation semantics contained in the behavior state semantic message data are extracted, and deep fusion of confrontation situation information is achieved in a semantic layer. On the basis of combining related knowledge, a semantic expression mode of typical behaviors and activities of a typical target in confrontation is constructed, semantic reasoning is performed on an evolution trend of a confrontation situation on the basis, and an intelligent cognitive model of a global confrontation situation is constructed. Situation cognition semantic results such as intention recognition and threat evaluation are output by means of the constructed situation cognition model, and decision makers are assisted to understand the global situation quickly, deeply and comprehensively.

Description

technical field [0001] The invention belongs to the field of semantic situational cognition, in particular to an intelligent situational cognition method based on active semantic text messages. Background technique [0002] Confrontation situational awareness is the process of recognizing, understanding and predicting situational elements, and it is the key technology for both sides to gain information advantages. It is a research hotspot in many fields such as information fusion and target surveillance. The cognition of the confrontation situation is mainly reflected in two aspects: situational information fusion and confrontation situation cognition. [0003] In terms of situational data fusion, at this stage, adaptive estimation, ontology theory, fuzzy theory, etc. are often used to reason, qualitative and quantitative fusion of situational data, and some results have been achieved. However, the current common situational fusion methods generally lack the ability to und...

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Problems solved by technology

[0004] In terms of confrontation situation cognition, fuzzy theory, Petri network, Bayesian network, entropy weight gray correlation method, and D-S evidence method are often used at this stage. These methods are practical and effective for situation cognition to a certain extent. However, these methods are generally difficult to effectively understand the dynamics and uncertainties of the confrontation situation.

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