Data fusion system and data fusion method

Abstract

A data fusion system and a data fusion method that may effectively reduce redundancy and complexity after data amplification. The data fusion system includes a storage device and a processor. The storage device is configured to store a feature extraction module, a model building module, a model disassembly module and a data fusion module. The processor is electrically connected to the storage device. The processor is configured to execute the feature extraction module, the model building module, the model disassembly module and the data fusion module, and is configured to receive multiple form data. The feature extraction module extracts multiple feature data from the form data. The model building module performs a preprocessing operation on the feature data, and builds a prediction model. The model disassembly module disassembles the prediction model into multiple triples data. The data fusion module fuses the triples data into knowledge graph data.

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