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This systematic review discusses the construction and applications of a knowledge graph for solubility big data, highlighting the challenges in data acquisition, fusion, storage, representation, and utilization. The paper emphasizes key technologies such as knowledge extraction, fusion, and reasoning, and explores application scenarios including knowledge question answering and recommender systems. It aims to provide technical references for constructing solubility knowledge graphs across various discipline

Author

tulio.xcrtf

Language

EN