农业海量信息资源管理平台设计与实现  

DESIGN AND IMPLEMENTATION OF MASSIVE AGRICULTURAL INFORMATION RESOURCE MANAGEMENT PLATFORM

作　　者：孙想[1] 吴华瑞[2] 李庆学 

机构地区：[1]北京农业信息技术研究中心,北京100097 [2]国家农业信息化工程技术研究中心,北京100097 [3]农业部农业信息技术重点实验室,北京100097

出　　处：《计算机应用与软件》2015年第3期75-78,104,共5页Computer Applications and Software

基　　金：国家科技支撑计划项目(2011BAD21B02);北京市自然科学基金项目(4122034)

摘　　要：随着农业信息化的深入,如何描述、存储、管理和处理海量分布信息资源成为农业应用的首要问题。提出基于XML/XML Schema的统一农业信息资源描述框架,将XML描述与元数据约束相结合,采用层次化管理结构实现元数据与资源信息的组织;在HDFS(Hadoop Distributed File System)云存储架构适应性改进基础之上,设计实现了农业海量信息资源管理平台,实现了海量、分布、异构资源的分类组织、存储和访问服务。平台覆盖了全国6个省市资源节点,实现了3.2 TB农业资源存储管理,与传统资源检索方法相比,平台资源检索时间缩短73%;同时,用户在同一检索条件下能更多地获得相关资源,不仅查准率平均提高5%,而且资源利用率平均提高17.7%。平台在海量资源检索和利用效率方面获得提升。With the deep going of agricultural informatisation,how to describe,store,manage,and process massive distributed information resources has become the principal problem for agricultural applications. In this paper we present a unified description framework of agricultural information resources,it is based on XML / XML-Schema,and combines XML description with metadata constraints,by using hierarchical management structure it realises the organisation of metadata and information resources. Based on improving the adaptability of HDFS cloud storage architecture,we design and implement a massive agricultural information resource management platform,and realise the classified organising,storage and access services of the massive,distributed,heterogeneous resources. The platform covers the resource nodes of 6 provinces and cities,realises 3. 2 TB agricultural resource storage management. Compared with traditional retrieval method,the platform resources retrieval time reduces by 73%; at the same time,the user can obtain more resources under the same retrieval conditions. Apart from the precision ratio increasing 5% by average,the resource utilisation rate also increases 17. 7% by average. The platform is improved in the aspects of massive resources retrieval and utilization efficiency.

关 键 词：XML SCHEMA HDFS 资源描述框架 农业信息管理 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]