基于知识组织的诊疗资源融合与发现平台设计及实现

Design and Implementation of a Diagnosis and Treatment Resource Fusion and Discovery Platform Based on Knowledge Organization

目的/意义解决诊疗资源类型有限、揭示深度不足、融合关联度不高等问题,为多源异构诊疗资源的语义融合与发现奠定基础。方法/过程提出基于知识体系的资源汇聚、基于增强表示的数据关联、基于实体对齐的内容整合等融合方法,实现专题型资源、文献型资源、公众健康教育资源的深度规范描述、语义融合与关联。结果/结论研发诊疗资源融合与发现平台,通过智能检索与推荐、结果聚类与分面分级、语义关联等服务,支撑诊疗资源的多维度融合与发现。

Purpose/Significance To solve the problems of limited types,insufficient depth of disclosure and low fusion correlation of diagnosis and treatment resources,so as to lay the foundation for semantic fusion and discovery of multi-source heterogeneous diagnosis and treatment resources.Method/Process The paper proposes some fusion methods,such as resource aggregation based on knowledge system,data association based on enhanced knowledge representation,content integration based on entity alignment,etc.,which achieves deep standardized description,semantic integration and correlation of thematic resources,literature resources and public health education resources.Result/Conclusion A diagnosis and treatment resource fusion and discovery platform has been developed to support the multi-dimensional fusion and discovery of diagnosis and treatment resources through services such as intelligent retrieval and recommendation,result clustering and faceted classification,semantic association,etc.