Knowledge base-based fast construction method of common correlation information query tree

Abstract

The invention relates to a knowledge base-based fast construction method of a common correlation information query tree. The knowledge base-based fast construction method comprises the following steps of: (1) constructing a correlation information logic tree structure of a business main body by taking the business main body as a root node according to business relations among various data in target data; (2) recording datasheets to which a father node and child nodes point, as well as correlation fields among the datasheets according to the correlation information logic tree structure; (3) constructing a knowledge base of the correlation information tree structure according to information of the correlation fields among the datasheets of the tree-like structure; (4) constructing a correlation information query function according to the knowledge base of the correlation information tree structure, and realizing the common correlation information query with a loose coupling degree in a recursive manner; and (5) reconstructing the correlation information of the business main body according to the correlation information logic tree structure. The method is suitable for all one-to-one table correlation business requirements; and by adopting the method, the construction efficiency of a complex business information extraction function can be greatly improved, and the fast adaptation to the adjustment of the business requirements can be realized.

Description

technical field [0001] The invention relates to a retrieval method for associated information, in particular to a method for quickly constructing a query tree of general associated information based on a knowledge base. Background technique [0002] Information retrieval, or Information Retrieval (IR), is a science dedicated to the effective storage and acquisition of large-capacity information. In practical applications, large-capacity information is reflected in the huge amount of data on the one hand, and the correlation between data on the other. complex. In the Internet age, public information facing the public is not only massive in quantity, but also has complex relationships among various types of information, and often these relationships exist implicitly, requiring further excavation and discovery. In the Internet age, there is an urgent demand for fast and high-quality information retrieval technology, and various intelligent retrieval technologies, especially ar...

AI Technical Summary

Problems solved by technology

[0005] The above-mentioned information retrieval is mainly for the mass information of the public. The characteristics of this type of information retrieval are loose and approximate solutions, while the applications for specific industries often require precise retrieval. The information must first be screened and classified to meet the actual application needs. On the premise of ensuring the information is refined, concise, and easy to use, such research results cannot meet the rapid construction requirements of the current industry-related information query function.

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