摘要
在医疗信息系统中,含自然语言表达式的时态信息起着关键性作用。如何处理基于自然语言的不确定时态信息问题一直没有得到很好地解决。针对医疗信息系统的需求,在此对时态数据模型的研究现状以及一些经典的不确定时态医疗信息数据模型进行了研究。对各种传统的时态原语类型进行不确定性扩展。提出了基于自然语言表达式的不确定时态数据模型NLTM。
The temporal information that includes natural language expressions is the key to the medical information system.However,how to process the indeterminate temporal information in the natural languages remains unsolved.According to the need of the medical information system,the current research technologies of the temporal data model and some classical indeterminate temporal medical information data model are studied in this paper.This paper proposes an indeterminate temporal data model,named NLTM,based on natural language expressions,to deal with the above problems in the medical information system and extends all sorts of temporal primitive types to support time indeterminacy according to the attributes definition of NLTM.
出处
《河北科技大学学报》
CAS
北大核心
2010年第5期463-467,共5页
Journal of Hebei University of Science and Technology
