HIGHLIGHTS
SUMMARY
Overall, the notion of knowledge graphs possesses a close connection among semantic web, machine_learning, graph databases, and knowledge engineering. Recent advancements in the field of knowledge graph-based representation research focuses on the knowledge acquisition, knowledge graph creation, triple extraction, triple classification, knowledge graph completion. Refinement: Representing graph in dense, continuous and low-dimensional vectors to perform machine_learning tasks. In the literature, many comprehensive survey papers for knowledge graph, domain-specific knowledge graphs such as smart grids, industrial products, manufacturing and production biomedical domain and knowledge graphs with recommendation engines exist, whereas no survey . . .
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