计算机科学 ›› 2023, Vol. 50 ›› Issue (3): 83-93.doi: 10.11896/jsjkx.220700241
• 知识图谱赋能的知识工程:理论、技术与系统专题 • 上一篇 下一篇
蒋川宇, 韩翔宇, 杨文蕊, 吕博涵, 黄小欧, 谢夏, 谷阳
JIANG Chuanyu, HAN Xiangyu, YANG Wenrui, LYU Bohan, HUANG Xiaoou, XIE Xia, GU Yang
摘要： 医学数据数字化推进过程中,如何选择合适的技术来对医学数据进行高效处理和准确分析,是当今医学领域普遍面临的问题。利用具有优秀联想与推理能力的知识图谱技术来对医学数据进行处理与分析,能更好地实现智慧医疗、辅助诊断等应用。医学知识图谱的完整构建过程包括知识抽取、知识融合和知识推理。其中知识抽取可细分为实体抽取、关系抽取和属性抽取,知识融合则主要包括实体对齐和实体消歧。首先,对现今医学知识图谱的构建技术和实际应用进行归纳整理,针对每一具体构建过程阐明技术发展脉络。在此基础上,对相关技术进行介绍并说明其优点和局限性。其次,介绍几个已成熟运用的医学知识图谱。最后,根据知识图谱在医学领域的技术与应用现状,给出未来知识图谱可进行的技术兼应用性的研究方向。
中图分类号:
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