摘要
该文在分析农业系统构成和运行特点的基础上,充分考虑了农业信息因素众多、构成复杂等特点,提出了多维分类方法,重点分析了农业信息在农业生产、农业行业/产品、市场、社会经济、科学技术以及自然资源等方面的内涵和特性,建立了以农业行业/产品为主线,包括农业生产维、农业市场维、农业自然资源维、农业社会经济维、农业科技维、农业时空维和农业信息属性维在内的多维分类空间,并构筑了相应的分类立方体数据模型,实现了对农业信息的多角度综合反映。该方法已经应用在中国农业信息网络平台与开发中并取得良好的效果。
Considering characteristics and complexity of agricultural system, especially multi-factor in the system, the paper develops a new framework called multi-dimension classification system (MDCS) to organize agricultural information. The framework makes agricultural field/product as its backbone to string up agricultural production dimension, agricultural market dimension, agricultural natural resource dimension, agricultural social economic dimension, agricultural science and technology dimension, space and time dimension, and information type dimension. A data model called classification cube is constructed to implement and represent the classification framework. The framework, together with the classification cube, enables a multi-facet and compositive way for organizing and analyzing agricultural information. The framework has been applied in practice and it showed effective functions.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2004年第4期152-156,共5页
Transactions of the Chinese Society of Agricultural Engineering
基金
十五"国家科技攻关课题"中国农业信息网络平台与开发"(2001BA513B01)
关键词
信息分类
多维数据模型
农业信息
information classification
multi-dimension data modeling
agricultural information
