Yu Xinwen, CAF Yamakawa, A., Kiura, T. Ninomiya, S., NARC, NARO 基于数据网格的数据共享与集成 Data-Grid based application of data integration and sharing

Contents Situation of Agro-Data-Grid Rice data service Integration system: RiceMet

Situation of Agro-Data-Grid MetBroker ， DemBroker ， ChitsuBroker ， ResourceServer ， SoilBroker Addressing the issue of heterogeneity, both data and software. data sharing Easy for data integration However, these are all environment related data We need crop data service for Agro-Data-Grid

Rice data service-an attempt for Crop data service Digital data sets are continuously produced In spreadsheet format Locally stored, isolated Hard to share among researchers Even harder for data merging and integration Data service is the basis to address these issues

Merging rice data needs a flexible data model. Merged data can be shared and integrated via consistent access Data service provides an access for integration with environmental data

Implementation of Rice data service EJB3: Simpler and more flexible than older version POJO: reusable components Annotation Dependency injection: simpler JNDI lookup Less configurations

Rice Data service 2 Entity Beans: RiceDataBean, LocationBean Mapping rice data and location data 1 session bean: RiceDataSessionBean Business logic to manipulate these data

RiceMet - Ajax+Google Maps By using google maps, experimental locations are visible on the map help user to select datasets based on these locations

ZK: Ajax toolkit with Java Ajax-based Rich User Interfaces. Java based programming, no Javascript Rich components Event-driven Model Server centric processing Full support to Google maps

Structure of RiceMet Hybrid of MVC and SOA model Google Map Client Browser Controller Crop DB Crop Data Service Model Services Web application MetBroker AMeDAS View

Integrated data are important to crop data analysis and modeling Integration between rice data and weather data RiceDataSer vice MetBroker Rice data table 気象官署 AMeDas Location table

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