Implementation method and system for visual matching and real-time displaying

Abstract

The invention discloses an implementation method and system for visual matching and real-time displaying. The method comprises the steps that first, the metadata of user data are extracted; second, comparison verification is conducted on the metadata and a visual matching engine rule, and various visual types corresponding to the metadata are obtained; third, one or more visual types are recommended to a user through a real-time display engine; fourth, graphs are synthetized to conduct visual graph display according to the visual type chosen by the user. According to the implementation method and system, intervention of complex data structures can be removed, a quick matching visual rule is provided, various reasonable visual display modes are recommended for the user according to marks, and artificial factors are shielded. The user does not need to judge which kind of visual type is more suitable, and a visual type marking mechanism can recommend the visual display mode to the user in real time.

Description

technical field [0001] The invention belongs to the field of computer networks, and in particular relates to a data visualization matching verification method for big data analysis, a method for selecting which image to display according to a verification result, and a corresponding system. Background technique [0002] Today's society is in an era of information explosion. With the development of enterprise information technology, a large amount of data is generated within the enterprise. Data visualization presents abstract data as visible graphics or images, showing the correlation, comparison and trend relationship between data. As enterprise data structures become more and more complex, business requirements change rapidly, and there are more and more visualization forms, the existing visualization types have the following defects: [0003] 1. There is no matching rule between the complex data structure of users and the diversified display methods; [0004] 2. The pro...

AI Technical Summary

Problems solved by technology

[0003] 1. There is no matching rule between the complex data structure of users and the diversified display methods;

[0004] 2. The pros and cons and reasonableness of data display methods often require the experience of BI personnel to judge;

[0005] 3. Based on existing data sources, the way of data display often requires manual correlation, resulting in a lack of real-time performance in the visualization process

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