面向业务驱动的大气环境数据资源分类体系及应用研究

孙彩萍; 王维; 张亚青

doi:10.12153/j.issn.1674-991X.20200116

面向业务驱动的大气环境数据资源分类体系及应用研究

doi: 10.12153/j.issn.1674-991X.20200116

中国环境科学研究院环境信息研究所

详细信息

作者简介:
孙彩萍(1968—),女,副研究员,硕士,研究方向为环境信息,suncp@craes.org.cn

中图分类号: X1
计量
- 文章访问数: 326
- HTML全文浏览量: 41
- PDF下载量: 78
- 被引次数: 0
出版历程
- 收稿日期: 2020-05-06
- 刊出日期: 2021-01-20

Research on business-oriented classification system of atmospheric environmental data resources and its application

Institute of Environmental Information, Chinese Research Academy of Environmental Sciences

摘要

摘要: 在对分类法和分类体系发展综述的基础上,总结分类法在知识管理中的功能转变,分析不同分类体系下有关环境行业的类目特点、局限性;对大数据发展背景下以数据共享为核心的分类体系方法——美国电子政务共享框架(Federal Enterprise Architecture Framework,FEA框架)的数据分类、元数据服务的思想和内容进行梳理,以大气环境科学综合数据采集与共享平台的建设为例,探索业务驱动型的科学数据分类体系。结果表明:随着知识载体和传播方式的改变,分类法发生从知识组织到知识发现、共享的功能转变;随着网络信息、知识社区和政府信息共建共享的不断发展,分类法从传统的学科分类法向面向业务的主题分类法发展;分析FEA框架数据参考模型的分类思想和使用方法,基于业务分析,采取科学性、实用性、均衡性原则,建立面向业务驱动的大气环境科学大数据标准化体系,共包含11个大类;制定元数据注册表,开发全文检索服务,满足大数据使用特点。
- 大气环境 /
- 大数据 /
- 信息共享 /
- 分类方法 /
- 分类体系 /
- 元数据 /
- 全文检索
Abstract: Based on a review of the development of taxonomies and taxonomy systems, the functional changes of taxonomy in knowledge management were summarized, and the characteristics and limitations of environmental categories under different taxonomy systems were analyzed. The data classification and metadata service ideas and contents of US Federal Enterprise Architecture (FEA) Framework, which put the data sharing as the core under the background of big data development, was combed. The atmospheric environment data collection and sharing platform was used as a case to explore a business-driven scientific data classification system. The results showed that the taxonomy changed from knowledge organization to knowledge discovery and sharing, with the change of knowledge carrier and communication mode. With the principles of network information, knowledge community and government information, the taxonomy was classified from traditional subject classification to business-oriented subject taxonomy. The classification ideas and usage methods of FEA data reference model were analyzed, and based on the business analysis, the scientific, practical and balanced principles were adopted to establish a business-oriented atmospheric big data standardization system, which contained 11 major categories. A metadata registry was formulated and full-text search services developed to meet the characteristics of big data usage.
- atmospheric environment /
- big data /
- information sharing /
- classification method /
- classification system /
- metadata /
- full-text search

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