摘要
信息分类编码标准是简化信息交换,实现信息处理和信息资源共享的基础和信息保障。近年来,各行业对于信息分类编码标准的需求日益增长,现有以数据共享为主的标准服务方式已不能很好地满足要求。本文提出了基于知识元的标准知识服务模型,依托信息分类编码标准知识服务平台对标准数据进行深加工,实现标准的知识萃取,从而将标准共享服务方式由数据共享转变为知识共享,更好地提升信息分类编码标准的研究和服务水平。
Information classification and coding standards serve as the basis and information guarantee for simplifying information exchange,information processing and information resource sharing.In recent years,the demand for information classification and coding standards has been increasing in various industries,meanwhile existing standard services based on data sharing can not meet the requirements well.This paper proposes a standard knowledge service model based on knowledge element,which can further process the standard data by relying on the standard knowledge service platform of information classification and coding,and realize the standard knowledge extraction,thus transforming the standard sharing service mode from data sharing to knowledge sharing,and improving the research and service level of information classification and coding standards.
作者
王双
程越
高昂
朱虹
万利
WANG Shuang;CHENG Yue;GAO Ang;ZHU Hong;WAN Li(China National Institute of Standardization)
出处
《标准科学》
2019年第9期85-89,共5页
Standard Science
基金
中国标准化研究院院长基金项目“信息分类编码标准知识服务平台关键技术研究”(项目编号:532018Y-5953)资助
关键词
信息分类编码标准
知识元
知识链接
知识搜索
知识图谱
information classification and coding standard
knowledge element
knowledge links
knowledge search
knowledge map