Data query method and device, computer equipment and computer readable storage medium

Abstract

The invention relates to a data query method and device, computer equipment and a computer readable storage medium. The data query method includes the steps of receiving search statements of a user; conducting semantic matching on the search statements to obtain at least one intention, wherein each intention in the intentions includes an intention knowledge point matched with the intention and atleast one intention parameter relevant to the matched intention knowledge point, and a knowledge base includes a plurality of intention knowledge points including a plurality of corresponding search answer extraction instruction templates; according to at least one intention parameter relevant to the matched intention knowledge point, and the search answer extraction instruction template corresponding to the matched intention knowledge point, obtaining a search answer extraction instruction; besides, according to the search answer extraction instruction, extracting corresponding data from a dynamic database to serve as search answer data. According to the data query method and device, the computer equipment and the computer readable storage medium, the data query efficiency can be improved, and the answer replying accuracy can be increased.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to a data query method and device, computer equipment and a computer-readable storage medium. Background technique [0002] Artificial Intelligence (Artificial Intelligence) is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. The artificial intelligence system can be, for example, an intelligent customer service system, a voice control system, and the like. [0003] Intelligent question answering system is a typical application of artificial intelligence. Some knowledge points stored in the knowledge base of traditional intelligent question answering systems are often not frequently asked questions, but come from structured static two-dimensional tables or dynamic database tables. Therefore, once the static two-dimensional tables or dynamic database tables To ...

AI Technical Summary

Problems solved by technology

Some knowledge points stored in the knowledge base of traditional intelligent question answering systems are often not frequently asked questions, but come from structured static two-dimensional tables or dynamic database tables. Therefore, once the static two-dimensional tables or dynamic database tables To modify the data in large quantities, it is necessary to change the answers corresponding to the knowledge points one by one, resulting in a very heavy workload and error-prone, which leads to low accuracy of answer replies

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