摘要
在大健康时代下构建医学院图书馆健康信息服务平台,能提升医学院图书馆健康信息处理能力和服务效果。设计的平台通过自建权威信息库与自动采集外部健康资讯两种模式建设数据层的健康资源,并将信息通输送至业务层进行加工、审核,采用自适应调度算法实现信息的自适应调度和访问,利用基于用户识别特征模型向用户推荐感兴趣信息。实验结果表明该平台具备较高的数据处理能力,响应时间短,可提升医学院图书馆健康信息服务质量。
This paper constructs a health information service platform of medical college library in the era of great health in order to improve the health information processing ability and service effect of medical college library. The platform constructs health resources in data layer by two modes, i.e., self-built authoritative information base and automatic collection of external health information, and transmits information to business layer for processing and auditing. Adaptive scheduling algorithm is used to realize adaptive scheduling and access of information, and user identification feature-based model is used to recommend interested information to users. The experimental results show that the platform has high data processing ability and low response time, can improve the effect of health information service in medical college library.
作者
张伟红
ZHANG Weihong(Library,Shaanxi University of Chinese Medicine,Xianyang 712046,China)
出处
《微型电脑应用》
2023年第2期17-19,共3页
Microcomputer Applications
基金
2020年度陕西省教育厅专项科学研究计划项目(20JK0107)。
关键词
大健康时代
医学院图书馆
健康信息
信息自动采集
信息集成
big health era
medical college library
health information
automatic information collection
information integration