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- W4307335307 abstract "Most traditional knowledge graph methods only learn knowledge representations from structured triples, ignoring the rich visual information in power images. To address this problem, this paper constructs a multimodal knowledge graph for power equipment defect data. The knowledge graph of power equipment images and defect texts is developed, and the InteractiveGraph graph database is used to realize knowledge storage, construct a multi-modal knowledge graph for power equipment defect data, and realize knowledge query and auxiliary decision-making." @default.
- W4307335307 created "2022-10-31" @default.
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- W4307335307 date "2022-09-23" @default.
- W4307335307 modified "2023-10-17" @default.
- W4307335307 title "Multimodal Knowledge Graph for Power Equipment Defect Data" @default.
- W4307335307 cites W2996678664 @default.
- W4307335307 doi "https://doi.org/10.1145/3558819.3565165" @default.
- W4307335307 hasPublicationYear "2022" @default.
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