摘要
阐述了一个高性能医学资源库系统的构造过程,利用本体技术实现了医学影像领域相关词汇的统一,弥补了原始数据信息和用户查询信息间、医学文本信息和医学影像信息间、资源库系统与其他系统间的语义鸿沟;通过语义推理、查询导航,以及对查询结果相关性反馈信息的处理,更好地理解用户查询意图;通过前置调度机及业务处理机构成的并行集群计算机制,提高了查询效率.经实验验证,该系统实现了高处理效率、高查全率和高查准率的有机统一.
A high-performance Medical Resource Database System （MRDS） is described. Based on ontology, the system implements the unification of vocabularies in the domain of medical image and makes up for the semantic gaps between original data and the information inquired out by customers, medical textual information and image information and the resource database system and other systems. By semantic inference, inquiring navigation and processing the correlation feedback information inquired out, the system can understands the intention of customer better. The efficiency of inquiry is thus improved by means of paralleled computing. Experiment results showed that the system is able to unify the high efficiency, high recall ratio and high precision ratio into one.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2007年第1期26-30,共5页
Journal of Northeastern University(Natural Science)
基金
国家自然科学基金资助项目(60441004)
