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Database retrieval method, system and device based on entity attribute relationship

A technology of entity attribute and retrieval system, applied in the field of database retrieval

Active Publication Date: 2021-08-20
上海卓辰信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Based on this, it is necessary to provide a database retrieval method, system and device based on entity attribute relationship for the problems existing in traditional database semantic query

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  • Database retrieval method, system and device based on entity attribute relationship
  • Database retrieval method, system and device based on entity attribute relationship

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Embodiment Construction

[0041] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0042] figure 1 It is an architecture diagram of a database retrieval system based on entity attribute relationship in an embodiment, as shown in the figure. A database retrieval system based on entity attribute relationship includes an application layer 100 , a business layer 200 and a data layer 300 .

[0043] Among them, the application layer 100 is located at the top layer, and is used for displaying data and receiving data input by users, and providing users with an interactive operation application interface. The application layer 100 includes a system management module 101 , a log manageme...

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Abstract

The present invention relates to a database retrieval method, system and equipment based on entity attribute relationship. The method includes: S1. receiving the query content input by the user from the application interface; S2. judging the query mode according to the query content, and the query mode includes Semantic query, relational query and direct query; S3. If it is a semantic query, provide a unified structured semantic query interface, convert the query content into a standard data format, and perform entity and attribute analysis on the query content through a preset algorithm , the analysis and processing of the relationship, if it is a relational query, then execute step S4, if it is a direct query, then execute step S4 or S5; S4. compare the query content with the triple data in the preset database; S5. obtain The retrieval result of the preset database, and return the retrieval result to the application interface. The invention is based on the data organization mode of entities, attributes and relationships, which is convenient for data association analysis and provides a realization basis for data mining.

Description

technical field [0001] The invention relates to the field of database retrieval, in particular to a database retrieval method, system and equipment based on entity attribute relationship. Background technique [0002] Semantic query refers to the process of retrieving knowledge from the knowledge base on the basis of knowledge organization. It is an intelligent retrieval method based on the knowledge organization system that can realize knowledge association and concept semantic retrieval. In the early days of image retrieval, the characteristics of images were described by text description, such as the author, age, genre, and size of paintings. After that, image retrieval technology that analyzes and retrieves the content semantics of images, such as image color, texture, layout, etc., appears. Text-based image retrieval generally uses keywords to query images. For example, if you want to find pictures of landscapes, you can enter "landscape painting"; if you want to find ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/332G06F16/33G06F16/36G06F40/295
CPCG06F16/332G06F16/3344G06F16/36G06F40/295
Inventor 叶杨
Owner 上海卓辰信息科技有限公司
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