【摘要】 为了解决医学知识图谱中知识重复、知识质量良莠不齐、知识间关联不够明确等问题,本文提出了一种大数据驱动下的医学知识图谱构建方法,同时针对医学知识图谱集成、演进、增强方面进行图谱知识融合和补全操作。然后,简单介绍医学知识图谱在医学领域的几个重要应用以及相关的人工智能技术的支持。最后,结合当前我国医学知识图谱构建技术面临的重大挑战和关键问题,对其发展前景进行了展望。更多还原

【Abstract】 In order to solve the problems of knowledge duplication, uneven quality of knowledge, and unclear correlation between knowledge, this paper proposes a big-data-driven construction method of medical knowledge graphs,and carry out the knowledge graphs fusion and completion operation in terms of the integration, evolution and enhancement of medical knowledge graphs. Then, this paper briefly introduces several important applications of medical knowledge graphs in medical field and the support of related artificial intelligence technology. Finally, this paper summarized challenges and major problems of medical knowledge graph, and prospected for future development.更多还原