Research on Personalized Learning of Public Security Operational Commanders Based on Knowledge Graph
With the establishment of an intelligence command center by the Ministry of Public Security in 2019,the intelligence command department becomes the command hub of police practices of the public security organization.The academia should strengthen the research on the command forces of operations,taking"the synthetic operations as an opportunity,the functions of the actual combat in police should be carried out.The personalized learning of the"operational commander"plays an important role in successfully disposing of the scene and completing the superior instructions.This research is based on Neo4j software,literature research,expert interviews,and Delphi methods are utilized to construct a knowledge graph that can meet with the personalized learning needs of public security operational commanders.At the same time,the"industry knowledge graph"is used as an explicit tool for the commanders of the public security operations to design the knowledge supplement,machine language cognition and knowledge reasoning,the practice teaching is also carried out.The study transfers part of the functions of public security operational commanders to self-improvement of the knowledge structure with the help of graph to artificial intelligence,rather than relying solely on the word-of-mouth mode of teachers,instructors,or master workers.With the help of Al,the personalized learning based on knowledge graph can continuously improve the knowledge accomplishment and actual combat level of public security operational commanders.
police command and tacticsknowledge graphpersonalized learningoperational commanders
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