This paper shows the problem of multi-source heterogeneous data integration in the audit data storage and access problems. Based on the analyses of existing data integration model, combining with the service-oriented architecture theory, this paper proposes a data center pattern, which is suitable for multi-source heterogeneous data integration model to audit. Furthermore this paper puts forward an incremental based technology to show the problem of synchronization of business audit data integration model, and expounds the data management mode based on Middleware technology.

In order to solve the problem of semantic heterogeneity in data integration, this paper places emphasis on establishing a good data model in the stage of expressing data. Through the ontology modeling method on audit data integration, we using the method of top-down ontology integration, put forward to the process of building Audit-ontology. This paper constructs the audit domain ontology, defines audit information ontology Audit-ontology, and analyzes the concept and semantic analysis of the audit information,establishes ontology classification framework, and formalized expression by using OWL language. Finally, we connect the ontology to data source.