Aerial target intention judgment method and system based on affair atlas

Abstract

The invention belongs to the technical field of aerial target intention judgment, and particularly relates to an aerial target intention judgment method and system based on an affair atlas, and the method comprises the steps: obtaining typical event types in an activity field according to the flight activity text data of an aerial target; carrying out event extraction by setting event trigger words and event elements corresponding to each type of typical events and analyzing air target flight activity text data, and obtaining typical events and atypical events in flight activities of the air target; building an air target flight activity affair atlas by labeling label attributes for all events and combining the graph database; according to the air target flight activity data to be processed, matching event types through event extraction and based on the affair atlas, and judging the air target intention. According to the method and system, intention judgment is carried out by means of the constructed affair atlas, comprehensive mastering of the actual application environment situation of the aerial target is improved, timely management and control of the aerial target are facilitated, and the method and system have a good application prospect.

Description

technical field [0001] The invention belongs to the technical field of aerial target intention discrimination, and in particular relates to a method and system for aerial target intention discrimination based on an event graph. Background technique [0002] With the continuous development of modern aircraft technology, the types of various application tasks are increasing. In practical applications, the timely and accurate identification of high-value aerial target intentions can ensure the overall control of the application environment situation, and is conducive to real-time analysis and judgment of the application environment to make timely responses. For both application parties, the determination of the intention of air targets is complicated and requires a lot of time and manpower. In the face of complicated flight activity text data of air targets, there is a relatively obvious error rate in manual judgment of intentions, so it is urgent to develop an intention judgm...

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Problems solved by technology

As another example, the air target intention discriminant model based on intuitionistic fuzzy production rule reasoning (IPR) and multi-attribute decision-making combines the advantages of multi-attribute decision-making and knowledge reasoning to improve the accuracy of the results, but the specific feasibility is still unclear. to be explored

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