NOVEL MEDICAL KNOWLEDGE RETRIEVAL SYSTEM

目前出版的绝大多数生物医学信息源 要想上网，就要使用万维网。然而，它仍然是 很难获得最新的、准确的医学知识 临床环境中的医生或寻求医疗服务的其他用户 信息。我们提出了一种新颖的医学知识检索系统 具有收集和分组搜索和结果的能力 通过多个服务器和资源。信息发现由 用户不会被查询中的困难和差异所困扰 语法、跨服务器的网络地址以及缺乏概念性 组织。该系统采用了富有表现力的结构化查询 语言与国家医学图书馆统一医学语言 系统提供必要的术语以增强信息 取回。它将为用户提供一个可访问的网络 用于数据共享和重复使用的收集库。拟议的系统 将使用跨平台编程环境-Java来推广Wide 分发和实施。

The vast majority of biomedical information sources now being published to the Internet employ the World Wide Web. However, it is still extremely difficult in obtaining current, accurate medical knowledge for physicians at a clinical setting or other users seeking for medical information. We propose a novel medical knowledge retrieval system that has the capability in collecting and grouping searches and results through multiple servers and resources. Information discovery by the user will not be challenged by difficulties and differences in query syntax, network addresses across servers and a lack of conceptual organization. The system employs an expressive structured query language and the National Library of Medicine's Unified Medical Language System to provide the necessary terminology in enhancing information retrieval. It will provide the users with a network accessible collection repository for data sharing and reusing. The proposed system will use a cross-platform programming environment-Java to promote wide distribution and implementation.