Knowledge Graphs Data Curation

Knowledge graph data management refers to the systematic organization, optimization, and maintenance of data within a knowledge graph, aiming to improve the quality, consistency, and usability of the data. By combining automated and manual methods, it ensures that the data in the knowledge graph is accurate, complete, and up-to-date, thereby supporting more efficient knowledge discovery and decision-making. The application value of knowledge graph data management lies in enhancing data integration capabilities, strengthening semantic understanding and reasoning abilities, promoting the fusion and sharing of cross-domain knowledge, and providing more precise and comprehensive information services for enterprises and individuals.