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
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[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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