| In order to eliminate informational isolated island in enterprise and solve information share between enterprises, data integration become a hot point in research area. This paper research and develop on the heterogeneous data integration middleware. The role of the middleware is as a middle platform for information access. Users of the platform do not need consider the heterogeneity and distribution of data source.The research of this paper is as kernel technique of a project: Client Relationship Management in telecom enterprise based on heterogeneous system, which is supported by middle or small science and technology enterprise innovation fund. This paper try to solve system heterogeneous, model heterogeneous, position heterogeneous and part of semantic heterogeneous.The main contributions of this paper are as follows:1. Present heterogeneous data integration middleware system architecture: combine classical Mediator-wrapper system architecture and ontology-based heterogeneous data integration architecture.2. Use two kinds of ontology, two levels of ontology mapping. Two kinds of ontology are global ontology and local ontology. Global ontology is as a unified view of local ontology, describing all datum in specific domain that can be integrated in middleware. Local ontology is the ontology description of specific data source, is the basis of ontology mapping. Two levels of mapping is the map between global ontology and local ontology and the map between local ontology and data source. Through two kinds of ontology and two maps, middleware can form global ontology centric approach in data query.3. Use Web Services figure out communication between middleware and datasource. Make data source independent with middleware.The meaning of this paper' s research is using new technology proposing new method to solve heterogeneous data integration. User or other application can access global ontology, through ontology mapping, and get all data in specific domain.
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