Thematic knowledge automatic mining system and method

Abstract

The invention belongs to the field of big data processing technology and discloses a thematic knowledge automatic mining system and method. The system comprises an Internet-of-Things interface module,a semantic query module, a data mining module and a map aggregation and visualization module. The method comprises the steps that first, data collection and database establishment are performed, wherein data acquired based on a web ubiquitous network, data of monitoring sensors and all types of thematic data are collected, sorted out and stored into a thematic database; next, thematic knowledge mining is performed, wherein thematic knowledge is formed through ontology construction, semantic query and depth information mining, and a file is transmitted into an FTP file server; the thematic knowledge acquired from the FTP file server and a geographic base map are subjected to geographic correlation, and cartographic data is formed; surface format design, thematic chart design and surface finishing are performed; and finally a thematic map is output. According to the thematic knowledge automatic mining system and method, by aid of a machine learning algorithm under big data, huge territorial resource information can be processed and analyzed 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...

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

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