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Design and Implementation of Police Equipment Knowledge Query System

Chenxi Yu, Xin Li*

Department of Information Technology and Cyber Security, People’s Public Security University of China, Beijing, 102623, China

* Corresponding Author: Xin Li. Email: email

Journal of Quantum Computing 2022, 4(2), 63-74. https://doi.org/10.32604/jqc.2022.027715

Abstract

In the field of public security, the standardized use of police equipment can better assist the public security police in performing their duties. With the advancement of science and technology of the times, police equipment is also constantly developing, and more and more new types of police equipment have appeared. Nowadays, there are a large number and variety of police equipment, and public security police are facing the challenge of mastering and updating equipment knowledge. This article builds a knowledge base of police equipment based on the knowledge of opening source data on the Internet, uses a variety of databases to store knowledge, and presents knowledge of police equipment in the form of knowledge queries, innovatively applying the concept of knowledge base to police Knowledge of equipment in science. Knowledge is presented in three modules: encyclopedia knowledge, question answering knowledge, and product knowledge, which can answer the description questions and experience questions of police equipment. The query accuracy rate for the physical problems of police equipment is 70%, and the query accuracy rate of the experience problems of police equipment is 90%. The design and implementation of the system solves the problem of knowledge fusion in the field of police equipment in opening source data, and at the same time can help the police to sort out the knowledge structure of police equipment, fully understand the police equipment, and better serve public security Field related work.

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Cite This Article

C. Yu and X. Li, "Design and implementation of police equipment knowledge query system," Journal of Quantum Computing, vol. 4, no.2, pp. 63–74, 2022. https://doi.org/10.32604/jqc.2022.027715



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