Conversational data fuzzy retrieval method and device oriented to large relational database

A database and relational technology, applied in relational databases, database models, structured data retrieval, etc., can solve the problem of insufficient intelligence of the retrieval system

Pending Publication Date: 2021-09-10
HARBIN INST OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The problem solved by the invention is that the intelligence degree of the existing retrieval system is not high enough

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  • Conversational data fuzzy retrieval method and device oriented to large relational database
  • Conversational data fuzzy retrieval method and device oriented to large relational database
  • Conversational data fuzzy retrieval method and device oriented to large relational database

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Embodiment Construction

[0030] In order to make the above objects, features and advantages of the present invention more comprehensible, specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0031] The conversational data fuzzy retrieval method for large-scale relational databases of the present invention can be implemented as a retrieval system, the retrieval system has the function of allowing users to input query instructions and outputting query results based on the query instructions input by users so that users can obtain query results Features. The datasets used in the training of each model in the present invention are triplet public text datasets that have been preprocessed.

[0032] In one embodiment, the conversational data fuzzy retrieval method for large-scale relational databases of the present invention includes:

[0033] Step S100, acquiring a query instruction.

[0034] The query instruction refers to the co...

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Abstract

The invention provides a conversational data fuzzy retrieval method and device oriented to a large relational database. The conversational data fuzzy retrieval method oriented to a large relational database comprises the following steps: obtaining a query instruction; based on a pre-trained text multi-label classification model, classifying the query instruction to a corresponding target database; based on a pre-trained named entity recognition model, extracting an entity of the query instruction, and retrieving attribute data related to the entity from the target database; and based on a pre-trained semantic recognition model, performing semantic recognition on the query instruction, and comparing a semantic recognition result with the attribute data related to the entity to obtain a data retrieval result corresponding to the query instruction. According to the invention, the intelligence and retrieval efficiency of the retrieval system can be improved.

Description

technical field [0001] The invention relates to the technical field of natural language processing based on deep learning, in particular to a conversational data fuzzy retrieval method and device for large-scale relational databases. Background technique [0002] With the advent of the era of artificial intelligence and the widespread application of 5G technology, the size of databases has become larger and larger. Relational databases represented by MySQL are widely used in the industry due to their small size, fast speed, and open source code. However, if MySQL is applied to a retrieval system that ordinary users can use, prior knowledge related to the MySQL database is required, and learning database instructions and underlying knowledge is difficult for ordinary users. There is a great lack of sex and intelligence. Contents of the invention [0003] The problem solved by the invention is that the intelligence degree of the existing retrieval system is not high enough....

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2458G06F16/242G06F16/28G06F16/25G06F40/295G06F40/30G06N3/04G06N3/08
CPCG06F16/2468G06F16/243G06F16/284G06F16/285G06F16/252G06F16/288G06F40/295G06F40/30G06N3/08G06N3/044G06N3/045
Inventor 卜坤刘远超刘秉权孙承杰单丽莉林磊
Owner HARBIN INST OF TECH
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