The Research And Implementation Of Heterogeneous Data Integration

The purpose of data integration system is to provide users with seamless and flexible access to heterogeneous data source through a unified query interface which can hide the difference of underlying data source.The paper focuses on correlative theories and technologies of heterogeneous data integration and presents HDSQ (Heterogeneous Data Source Query) architecture of data integration which is based on analysis and comparing the existing data integration approach and the character of architecture. HDSQ adopts Mediator/Wrapper method and combines with ontology technology. This architecture uses OWL (Ontology Web Language) to represent global schema.lt provides an effective approach to solve the problems of semantic heterogeneity on data integration. The HDSQ that implements the encapsulation and invoking of the data source based on Web Service technology is fit for the distributed system environment.Finally, a system prototype which is based on the methods and technologies for data integration and query is introduced. The prototype can completely perform integration of schema, query processing and source configure. It provides transparent access to existing database management systems and XML data through a unified query interface.The main works of this paper are as follows:(1) The concept of field is described by ontology. The global ontology and local ontology are constructed. The relation between them is presented.Themethod solves the problems of semantic heterogeneity on data integration.(2) The heterogeneous data integration architecture is designed The functions of components are described and the prototype system is realized.(3) The method that data source wrapper is encapsulated as Web Service makes invocation mechanism simple and improves the flexibility and the extensibility.