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医学领域知识融合研究进展OA北大核心CSTPCD

Advances in Knowledge Fusion Research in Medical Domain

中文摘要英文摘要

医学领域知识融合旨在将分散在各个知识图谱或不同数据源中的医学知识进行整合,形成一个更全面的知识图谱,在提高知识质量、扩大规模、提高医学知识利用率和共享性等方面具有促进作用.围绕知识融合的问题和解决方案,首先系统地梳理了医学领域知识融合的定义、评价指标及数据集;分类讨论了知识融合过程中存在的问题与挑战;然后从问题、技术两个维度,综述了目前知识融合中实体对齐、实体链接任务各方法的优势与不足;详细讨论和总结了医学领域知识融合每一类问题的相关解决方案;最后,总结并展望了医学领域知识融合的发展方向.

Knowledge fusion in the medical domain aims to integrate medical knowledge scattered in various knowledge graphs or different data sources to form a more comprehensive knowledge graph,which plays a promoting role in improving knowledge quality,expanding scale,augmenting the utilization and sharing of medical knowledge,and so on.Around the issues and solutions of knowledge fusion,firstly,the definition,evaluation indexes and datasets in medical knowledge fusion are systematically sorted out.The problems and challenges in the process of knowledge fusion are discussed.Then,from the two dimensions of problems and technologies,the advantages and disadvantages of various methods for entity align-ment and entity linking tasks in current knowledge fusion are summarized.The solutions for each type in medical knowl-edge fusion are discussed and summarized in detail.Finally,the paper summarizes and looks at the development direction of knowledge fusion in medical domain.

彭琳;宋珺;熊玲珠;杜建强;叶青;刘安栋

江西中医药大学 计算机学院,南昌 330004

计算机与自动化

医学领域知识融合实体对齐实体链接

medical domainknowledge fusionentity alignmententity linking

《计算机工程与应用》 2024 (009)

48-64 / 17

江西省教育厅科技计划项目(GJJ201232);江西省学位与研究生教育教学改革研究项目(JXYJG-2019-116);校级重点学科资助项目(2023jzzdxk027);国家自然科学基金(82260988).

10.3778/j.issn.1002-8331.2309-0406

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