Multimodal Knowledge Graph and Blockchain Technology Based on Embedded IOT Systems

Traditional knowledge maps can only deal with single modal data. The combination of information fusion based multimodal knowledge maps and blockchain technology can effectively improve the expression ability and security of knowledge maps. This paper constructs a multimodal knowledge graph through information fusion technology, and combines blockchain technology to improve the data security, credibility and privacy protection capabilities of the knowledge graph, and further realizes the intelligent reasoning and efficient application of cross-domain knowledge to cope with complex and diverse practical application scenarios. This paper combined multimodal knowledge graph with blockchain technology, and conducted research on the construction efficiency, query efficiency, application effect of multimodal knowledge graph and application effect of multimodal knowledge graph fusion blockchain technology in the experimental section. It was known that the construction of a multimodal knowledge graph based on information fusion only took about 1[Formula: see text]h; the data query time of the multimodal knowledge graph based on information fusion was maintained at around 1[Formula: see text]s; the access time of distributed storage based on blockchain technology was maintained at around 1[Formula: see text]s; the cost of using blockchain technology for knowledge graph calculation was around 1,000[Formula: see text]yuan/month. The multimodal knowledge graph and blockchain technology based on information fusion can promote the development and application of knowledge graphs in various fields.