Table intelligent query method and device and computer readable storage medium

Abstract

The invention relates to an artificial intelligence technology and discloses an intelligent table query method. The method comprises the steps of receiving an original table set and a label set, splitting the original table set to obtain a standard table set, performing part-of-speech coding on the label set to obtain a word vector set, inputting the standard table set and the word vector set intoan intelligent query model for training to obtain a training value, until the training value is smaller than a preset threshold value, the intelligent query model completes training; and receiving query content of a user, extracting the query content based on a keyword extraction technology to obtain a keyword set, performing part-of-speech encoding on the keyword set to obtain a keyword vector set, inputting the keyword vector set into the trained intelligent query model to obtain a table set required by the query content, and outputting the table set. The invention further provides an intelligent table query device and a computer readable storage medium. According to the invention, an accurate and efficient table intelligent query function can be realized.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a method, device and computer-readable storage medium for intelligent table query. Background technique [0002] With the rapid development of the Internet, the scale of data is expanding rapidly, so the speed of fast query of data is getting higher and higher. At present, most of the data are stored in the form of tables, such as the company's business day income data, real estate company's real estate registration information, etc. At present, data-based queries are mostly based on the table traversal method or user keyword search method, although it can be used to a certain extent The query requirements are met, but when the table capacity is large, the search speed of the table traversal method and the user keyword search method are slow and consume a large amount of computing memory. Contents of the invention [0003] The present invention provides...

AI Technical Summary

Problems solved by technology

At present, most of the data are stored in the form of tables, such as the income data of the company’s business day, the real estate registration information of real estate companies, etc. At present, data-based queries are mostly based on the table traversal method or user keyword search method, although it can be used to a certain extent. Meet the query requirements, but when the table capacity is large, the search speed of the table traversal method and the user keyword search method are slow and consume a large amount of computing memory

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