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A knowledge graph system construction method

A knowledge map and system technology, applied in the field of knowledge map system construction, can solve the problems of single data format, voice, video, text, image and other multi-modal data utilization and management and storage methods. The effect of solving insufficient training data, rapid iterative evolution and improvement, and improving construction efficiency

Active Publication Date: 2019-04-30
CETC BIGDATA RES INST CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the construction and data management of knowledge graphs are all based on a single data format for analysis, and there are obvious deficiencies in the research on the utilization rate and management storage methods of multi-modal data such as voice, video, text, and images.

Method used

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  • A knowledge graph system construction method

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Experimental program
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Embodiment

[0086] As mentioned above, the implementation process of the present invention is as follows:

[0087] 1) Obtain multimodal data such as images, voice, video, and text, and perform preliminary data cleaning and processing;

[0088] 2) Train the neural network algorithm model for multi-modal data feature extraction, and establish the logic rule algorithm model;

[0089] 3) Feature extraction is performed on the multimodal data in each format;

[0090] 4) Perform unified representation, feature association analysis, feature selection, common feature selection, and determination of data representation features for the obtained features, and perform preliminary classification of multimodal data based on feature analysis results;

[0091] 5) The characteristic features are used as the index (Key), and the multimodal mixed data of the corresponding category are stored in the NoSQL database as the value (Value);

[0092] 6) Using logical rule methods, statistical learning methods, ...

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PUM

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Abstract

The invention provides a knowledge graph system establishment method. The method comprises the following steps: data acquisition; extraction of features-characterization features-feature preservation-knowledge graph foundation-construction of knowledge map. According to the invention, the multimedia data can be associated to construct the knowledge graph; unified management and use of multimedia data are carried out; the problem of insufficient training data is solved; the key information extraction accuracy of the knowledge graph is improved; knowledge graph construction efficiency is improved, the knowledge graph and the bottom multi-mode data are associated through entity attribute feature association and key value pair storage, rapid retrieval is carried out through a data disassembling and positioning algorithm, rapid iterative evolution and perfection of the whole system are achieved through a closed-loop system, and therefore powerful support is provided for various later applications.

Description

technical field [0001] The invention relates to a method for building a knowledge graph system, which belongs to the technical field of cross-modal knowledge graph construction and data storage management utilization, and specifically relates to a cross-modal knowledge graph construction and multi-modal data management. Background technique [0002] The knowledge map can display complex knowledge fields through data mining, information processing, knowledge measurement and graphic drawing, reveal the dynamic development law of the knowledge field, and provide practical and valuable references for subject research. [0003] At present, the construction and data management of knowledge graphs are all based on a single data format for analysis, and there are obvious deficiencies in the research on the utilization rate and management storage methods of multi-modal data such as voice, video, text, and images. Due to the rapid development of Internet technology and information tec...

Claims

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Application Information

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IPC IPC(8): G06F16/36
CPCY02D10/00
Inventor 印忠文罗燎宋荣伟
Owner CETC BIGDATA RES INST CO LTD
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