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Semantic Model Driven Approach for Data-attribute Matching

Han Zhao

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Abstract

Nowadays,enterprises need data integration in a level of semantic.To solve the problem of heterogeneous database semantic integration,a semantic model-driven approach is proposed,and a semantic model-driven application framework is implemented.This thesis discusses the data-attribute matching technology,which plays a role in the framework.This technology is used in the precondition that a semantic model is already exist,through providing mapping method,to guide the process of mapping heterogeneous data to exist model.

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What this paper is about

Nowadays,enterprises need data integration in a level of semantic.To solve the problem of heterogeneous database semantic integration,a semantic model-driven approach is proposed,and a semantic model-driven application framework is implemented.This thesis discusses the data-attribute matching technology,which plays a role in the framework.This technology is used in the precondition that a semantic model is already exist,through providing mapping method,to guide the process of mapping heterogeneous data to exist model.

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Available abstract

Nowadays,enterprises need data integration in a level of semantic.To solve the problem of heterogeneous database semantic integration,a semantic model-driven approach is proposed,and a semantic model-driven application framework is implemented.This thesis discusses the data-attribute matching technology,which plays a role in the framework.This technology is used in the precondition that a semantic model is already exist,through providing mapping method,to guide the process of mapping heterogeneous data to exist model.

Key concepts: Computer science, Semantic matching, Precondition, Semantic grid, Semantic heterogeneity, Semantic data model, Semantic technology, Semantic integration

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