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Semantic and knowledge graph analysis method, platform and device based on dynamic ontology

A technology of knowledge graph and analysis method, applied in the field of semantic and knowledge graph analysis based on dynamic ontology, can solve the problems of inability to comprehensively analyze data, poor support for Chinese processing, and reducing the value of data use.

Pending Publication Date: 2021-08-31
BEIJING TOPWALK INFORMATION TECH
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AI Technical Summary

Problems solved by technology

[0003] At present, the tools used to analyze multi-source heterogeneous data in the prior art are relatively traditional, and have high requirements on the data format of the data, resulting in poor support for Chinese processing and the inability to comprehensively analyze the data, which greatly reduces the data quality. use value

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  • Semantic and knowledge graph analysis method, platform and device based on dynamic ontology
  • Semantic and knowledge graph analysis method, platform and device based on dynamic ontology
  • Semantic and knowledge graph analysis method, platform and device based on dynamic ontology

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Embodiment Construction

[0043] The application 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 related inventions, rather than to limit the invention. It should also be noted that, for ease of description, only parts related to the invention are shown in the drawings.

[0044] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0045] As mentioned in the background technology, in the Internet era with the rapid development of artificial intelligence, a large amount of heterogeneous data is generated. Therefore, it is very important to conduct comprehensive analysis on big data. The tools used for multi-source heterogeneo...

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Abstract

The invention discloses a semantic and knowledge graph analysis method, platform and device based on a dynamic ontology. The method comprises the following steps of acquiring the to-be-processed data; performing text semantic analysis and ontology mapping processing on the to-be-processed data, and extracting an ontology structure which comprises an object, an attribute and a relationship; and on the basis of the relation among the object, the attribute and the relationship, constructing a knowledge graph library so as to analyze and process the to-be-processed data. According to the technical scheme, multiple technologies such as dynamic ontology knowledge modeling, a knowledge graph technology and a big data technology are fused, the integrated processing of multi-source heterogeneous data is achieved, the ontology structure can be automatically extracted through a text semantic analysis and ontology mapping processing method, then the knowledge graph library is constructed, the rapid association mining of massive multi-source heterogeneous data is realized, comprehensive analysis of the multi-source heterogeneous data can be realized, and the use value of the data is improved.

Description

technical field [0001] The present invention generally relates to the technical field of data processing, and specifically relates to a dynamic ontology-based semantic and knowledge map analysis method, platform and equipment. Background technique [0002] With the rapid development of Internet technology, artificial intelligence has become the focus of competition in various fields, and all walks of life have embarked on the road of intelligent upgrading and transformation, which has increased the demand for intelligent applications. In order to meet the needs of source heterogeneous data and data association mining, comprehensive analysis of big data is particularly important. [0003] At present, the tools used to analyze multi-source heterogeneous data in the prior art are relatively traditional, and have high requirements on the data format of the data, resulting in poor support for Chinese processing and the inability to comprehensively analyze the data, which greatly ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/36G06F16/33G06F40/295G06F40/30
CPCG06F16/367G06F16/3344
Inventor 王洪波余江王亚强张三海
Owner BEIJING TOPWALK INFORMATION TECH
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