Knowledge base modeling method for association relation analysis

Abstract

The invention discloses a knowledge base modeling method for association relation analysis, which includes an attribute modeling stage, an object modeling phase and a relation modeling stage, wherein the attribute modeling stage uniformly configures and manages different types of information; object modeling stage defines the basic information of the object and the attribute information contained in the object; relation modeling stage carries out the business data relation modeling and management. An associated knowledge base of analysis service can be quickly constructed by using the method provided, which enables quick associated information expression of data, easy viewing and understanding, filtration of invalid data, timely response to changes in business needs, timely response to business needs, and rapid data association analysis.

Description

technical field [0001] The invention relates to a knowledge base modeling method, in particular to a knowledge base modeling method for association relations. Background technique [0002] With the development of big data storage and analysis, the amount of data used by users is increasing, the types of data are increasing, and the relationship is becoming more and more complex. It is becoming more and more difficult to view, search, and analyze data. The traditional business data processing method selects the important field information for simple viewing and classification of the existing data in the system, which is not close to the user's business needs, and the information is difficult to understand; the general correlation display analysis tool does the system data After a certain amount of information processing and association, it is still not convenient to show the specific relationship of the data, and with the change and increase of user needs, it becomes very dif...

AI Technical Summary

Problems solved by technology

The traditional business data processing method selects the important field information for simple viewing and classification of the existing data in the system, which is not close to the user's business needs, and the information is difficult to understand; the general correlation display analysis tool does the system data After a certain amount of information processing and association, it is still not convenient to show the specific relationship of the data, and with the change and increase of user needs, it becomes very difficult to adjust the content and relationship structure, and it is difficult to adapt to new business needs, often requiring a lot of Development work

The reason is mainly because traditional data processing and general display and analysis often start from the data itself, and perform certain escaping and deformation on the data according to the needs of the business to make the data easier to view, and do not start from the business itself. Need to start, standardize the management of data

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