Abstract
With the changes and development of the social era, my country’s classic art is slowly being lost. In order to more effectively inherit and preserve classic art, the collection and sorting of classic art data through modern information technology has become a top priority. Database storage is a good way. However, as the amount of data grows, the requirements for computing processing power and query speed for massive amounts of data and information are also increasing day by day. Faced with this problem, this article is aimed at studying the optimization of database queries through effective algorithms to improve the efficiency of data query. Based on the traditional database query optimization algorithm, this article improves on the traditional algorithm and proposes a semi‐join query optimization algorithm, which reduces the number of connection cards and the number of columns and uses the number of blocks that participate in the semi‐link algorithm connection and preconnection preview and selection. And other functions reduce the size of the participating block, and the connection sent between sites reduces the cost of sending between networks. The graph data query optimization algorithm is used to optimize the graph data query in the database to reduce the extra task overhead and improve the system performance. The experimental results of this paper show that through the data query optimization algorithm of this paper, the additional task overhead is reduced by 19%, the system performance is increased by 22%, and the data query efficiency is increased by 31%.
Highlights
Classic art has been carrying the prosperity and replacement of the Chinese nation since ancient times and is a cultural treasure handed down by the Chinese nation
The survey basically covers the basic knowledge of preference modeling, the use of preference in reasoning and argumentation, the problem of compact representation of preferences, preference learning, and the use of nontraditional preference models based on extended logical language
This article optimizes database queries based on artificial intelligence and edge computing and uses query optimization algorithms to optimize database performance and improve query efficiency
Summary
Classic art has been carrying the prosperity and replacement of the Chinese nation since ancient times and is a cultural treasure handed down by the Chinese nation. As the diversified development of art and the acceleration of the modernization process, coupled with the slowdown of modern attention to it, some classic art and works that have been handed down for a long time are disappearing continuously This urgently requires us to keep up with the changes of the times, systematically collect and organize data, and establish relevant databases. The survey basically covers the basic knowledge of preference modeling, the use of preference in reasoning and argumentation, the problem of compact representation of preferences, preference learning, and the use of nontraditional preference models based on extended logical language The concept he put forward is too advanced for modern technology to be effectively implemented [1, 2]. It is possible to send as much data as possible while reducing the loss of data packets while reducing power consumption
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