Multi-modal knowledge graph construction method
A knowledge map and construction method technology, applied in knowledge expression, semantic tool creation, unstructured text data retrieval, etc., can solve the problem of not considering the dependence and correspondence of different modal features, and not being able to describe multimodal data well Various related issues, to achieve the effect of improving knowledge credibility and usability, rich knowledge types, and high knowledge credibility
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[0017] refer to figure 1 . According to the present invention, adopt following steps:
[0018] Multi-modal data semantic feature extraction: extract multi-modal data semantic features based on multi-modal data feature representation model, construct text, image, audio and video data feature extraction models based on pre-trained models, and complete single-mode data based on feature extraction models Semantic feature extraction of dynamic data, semantic feature extraction of text data, image feature extraction, video feature extraction, textual description information extraction and textual description of image data, textual description information extraction of video;
[0019] Multimodal knowledge representation: Based on unsupervised graph embedding, attribute graph embedding, heterogeneous graph embedding, etc., different types of data are projected into the same vector space for representation, realizing cross-modal multimodal knowledge representation;
[0020] Multi-mod...
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