Judgment and identification method and system for suspicious violent and horrific person based on ontology identity features

Abstract

The invention discloses a judgment and identification method and system for a suspicious violent and horrific person based on ontology identity features. The method includes the following steps of: (1) collecting a plurality of ontology identity feature information for each object of interest and defining it as a corresponding ontology feature variable; (2) assigning the ontology feature variablesbased on the ontology identity feature information, and using a discretized variable assignment method; (3) building a training data set; and (4) using at least one data classification method for classification training of the training data set to construct a non-linear classifier. The method and system considers and analyzes the possible correlation between the feature variables of the object ofinterest, performs the discretized assignment of the feature variables, forms the training data and constructs a non-linear classifier accordingly, and accurately and efficiently discriminates the risk of persons involved in terrorism through the non-linear classifier.

Description

Technical field [0001] The present invention belongs to the field of public security intelligence technology. It is a method and system for researching and identifying key persons suspected of violent terrorism, and specifically relates to a method and system for researching, judging and identifying persons suspected of violent terrorism based on ontology identity characteristics. Based on the identity information of the object (the object of interest), it can be judged and identified whether it belongs to a person suspected of violent terrorism. Background technique [0002] In recent years, violent terrorist activities (violent terrorist activities) have become increasingly rampant, posing a great threat to social stability and public safety. For the intelligence departments of the public security organs, the use of intelligence analysis methods to find clues to violent and terrorist activities early, identify suspects of violent and terrorist activities, and deal with them in ...

AI Technical Summary

Problems solved by technology

[0004] From the current point of view, the analysis and judgment methods of the intelligence departments of the public security organs are still mainly focused on the analysis of the seven types of routine attention groups in the public security organs, and no research and judgment model (categorical discrimination model ), and the characteristic variables analyzed by the existing research and judgment model only consider the region, criminal record, age, gender, etc. of the object of interest. Possible correlation problems between

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