2013Marine and EnvironmentRequires access

Data integration and application of marine environmental monitor-ing based on large data

Pengfei Jiu, Yuan Liu, Junghua Zhu

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Abstract

to face the integration of multiple-source heterogeneous mass data, Traditional integration methods and techniques cannot implement, until large data technology out of is now possible. Application of large data technology for multi-source heterogeneous marine Environment Monitoring data integration, Benefits marine Environment monitoring to share, Avoid islands of information, Simultaneous analysis of data, Mining provides the required data. The article focuses on the based on large data and data virtualization platform Technology, Reference ODM 2 Information model and MMI ORR Ontology semantic Framework for multiple source Heterogeneous marine environmental monitoring data integration issue , And on the basis of data integration, explores multi-source heterogeneous data queries, Consolidated Show implementation of the application . This research is helpful to solve the problem of massive marine environment monitoring data management problems , Meeting marine environment Research workers author large data requirements , Implementing data-driven decisions ,,Promote marine environment management level .

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What this paper is about

to face the integration of multiple-source heterogeneous mass data, Traditional integration methods and techniques cannot implement, until large data technology out of is now possible. Application of large data technology for multi-source heterogeneous marine Environment Monitoring data integration, Benefits marine Environment monitoring to share, Avoid islands of information, Simultaneous analysis of data, Mining provides the required data. The article focuses on the based on large data and data virtualization platform Technology, Reference ODM 2 Information model and MMI ORR Ontology semantic Framework for multiple source Heterogeneous marine environmental monitoring data integration issue , And on the basis of data integration, explores multi-source heterogeneous data queries, Consolidated Show implementation of the application . This research is helpful to solve the problem of massive marine environment monitoring data management problems , Meeting marine environment Research workers author large data requirements , Implementing data-driven decisions ,,Promote marine environment management level .

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Available abstract

to face the integration of multiple-source heterogeneous mass data, Traditional integration methods and techniques cannot implement, until large data technology out of is now possible. Application of large data technology for multi-source heterogeneous marine Environment Monitoring data integration, Benefits marine Environment monitoring to share, Avoid islands of information, Simultaneous analysis of data, Mining provides the required data. The article focuses on the based on large data and data virtualization platform Technology, Reference ODM 2 Information model and MMI ORR Ontology semantic Framework for multiple source Heterogeneous marine environmental monitoring data integration issue , And on the basis of data integration, explores multi-source heterogeneous data queries, Consolidated Show implementation of the application . This research is helpful to solve the problem of massive marine environment monitoring data management problems , Meeting marine environment Research workers author large data requirements , Implementing data-driven decisions ,,Promote marine environment management level .

Key concepts: Data virtualization, Data integration, Computer science, Ontology, Data science, Data management, Ontology-based data integration, Information integration

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