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Database query method based on body and restricted natural language processing

A technology of natural language processing and query method, which is applied in the field of database query based on ontology and limited natural language processing, which can solve the problems of large degree of limitation, limited vocabulary, and failure to meet practical requirements, so as to improve query efficiency , the effect of flexible structure

Active Publication Date: 2014-03-19
南京柯基数据科技有限公司
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AI Technical Summary

Problems solved by technology

The CQI system of Southeast University is the first Chinese database query interface based on the E-R model successfully developed in China in the 1990s, but the interface is limited by the use of imperative sentences and limited vocabulary
Chiql, successfully developed by Renmin University of China and Chinese University of Hong Kong, has greatly improved in terms of query structure, vocabulary and natural language query conversion, but users are still limited when using it, so it is still not practical. requirements

Method used

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  • Database query method based on body and restricted natural language processing
  • Database query method based on body and restricted natural language processing
  • Database query method based on body and restricted natural language processing

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Embodiment Construction

[0028] The implementation process of the present invention will be described in detail below in conjunction with the embodiments and the accompanying drawings.

[0029] The relational database query method based on ontology and limited natural language processing of the present invention comprises the following 6 steps:

[0030] 1) Ontology to PCDO graph data structure: Ontology is a specification proposed by the World Wide Web Consortium (W3C) for describing various resource information on the World Wide Web. The ontology in the present invention is based on the schema information of the relational database, according to It is constructed according to certain rules and is used to describe various resource information in the database. The ontology construction rules are as follows:

[0031] (a) Build a class in the ontology: For all the relational tables in the relational database, build a corresponding class in the ontology, and the class and the relational table correspond o...

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Abstract

The invention discloses a database query method based on a body and restricted natural language processing. The method is mainly used for solving the natural language query problem of a database. According to the method, a relation mode of the database is converted into the corresponding body, a special segmentation dictionary and keyword indexes are built according to records in the database, correlation of multiple keywords are found by means of semantic information in the body after the keywords are extracted from natural language query of a user, and finally the natural language query is converted into SQL query.

Description

technical field [0001] The invention belongs to the field of semantic query and relates to a database query method based on ontology and limited natural language processing. Background technique [0002] With the continuous development of the Internet, the amount of information contained in the Internet is also growing exponentially. According to statistics, more than 70% of the data in the Internet is stored in the database, so effective query of the database plays a very important role in contemporary Web data analysis. However, the traditional query of the database requires professionals to deeply understand the schema information inside the database and construct appropriate SQL query statements; for non-professionals, because they do not have the professional knowledge of the database, they can only look at the huge database. . [0003] Database natural language query is the product of the combination of natural language understanding and database technology. In recen...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/243G06F16/284
Inventor 漆桂林崔荣国张慧邓波陆彬杨成彪
Owner 南京柯基数据科技有限公司
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