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A system and method for automatic mining of topical knowledge

An automatic mining and thematic technology, applied in the field of big data processing

Active Publication Date: 2022-03-22
CHENGDU RES INST OF UESTC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] To sum up, the problem existing in the existing technology is: the traditional spatial statistical analysis method cannot receive real-time sensor data and simultaneously carry out knowledge mining and analysis processing

Method used

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  • A system and method for automatic mining of topical knowledge
  • A system and method for automatic mining of topical knowledge
  • A system and method for automatic mining of topical knowledge

Examples

Experimental program
Comparison scheme
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Embodiment Construction

[0076] In order to further understand the content, features and effects of the present invention, the following examples are given, and detailed descriptions are given below with reference to the accompanying drawings.

[0077] The structure of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0078] Such as figure 1 As shown, the special topic knowledge automatic mining software system includes: Internet of Things interface module 1, semantic query module 2, data mining module 3, map aggregation and visualization module 4.

[0079] Internet of things interface module 1, this module mainly completes the main functions such as data acquisition and storage, data retrieval according to conditions, data export and display. The main function of the Internet of Things interface module 1 is to collect data and provide data support for the mining system.

[0080] Data acquisition and storage: This module acquires and stores data...

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Abstract

The invention belongs to the technical field of big data processing, and discloses a system and method for automatically mining special topic knowledge. The system includes: an Internet of Things interface module, a semantic query module, a data mining module, and a map aggregation and visualization module; the method includes: first, data collection and Build a database, collect and store the data obtained based on the ubiquitous web, monitoring sensor data, and various thematic materials into the thematic database; then carry out thematic knowledge mining, and form thematic knowledge through ontology construction, semantic query, and in-depth information mining. The file is transferred to the FTP file server; the thematic knowledge obtained from the FTP file server is geographically correlated with the geographic base map to form cartographic data; the map layout design, thematic chart design, and map finishing are carried out; finally, the thematic map is output. The present invention uses machine learning algorithms under big data to process and analyze huge land resources information through an efficient and accurate method.

Description

technical field [0001] The invention belongs to the technical field of big data processing, and in particular relates to an automatic mining system and method for topical knowledge. Background technique [0002] In recent years, big data technology has developed rapidly around the world, setting off a huge research boom and attracting great attention from the global industry, academia and governments. With the rapid development and popularization of computer and information technology, industry application data is growing explosively. Industry big data, which can easily reach hundreds of terabytes or even several petabytes, has far exceeded the processing capabilities of traditional computing technologies and information systems. At the same time, big data often implies a lot of in-depth knowledge and value that are not available when the amount of data is small. The intelligent analysis and mining of big data will bring huge commercial value to the industry and realize a v...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/2458G06K9/62G06F16/29
CPCG06F18/24323
Inventor 刘强刘沛文黄耀森陈晨
Owner CHENGDU RES INST OF UESTC
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