Oriented Query Processing, Semantic Information Integration

Along with the development of the computer, many industries and branches have developed their own software to manage their inner business and information. The explosion of the Internet in recent years has caused the need of the association between different industries and branches to achieve communication and information sharing. However, various heterogeneities exist between different data sources, especially semantic heterogeneities, because the same data was modeled by different users in different ways. Thus, some associated branches can't exchange data with each other resulting in information isolation. Information integration technology was developed for achieving information exchange and sharing between distributed, anonymous data sources. We built an information integration system SISEG, using the social security in e-government as its background, to exact the information distributed in several anonymous data sources and provide an integrated data view.Information integration system attempt to provide user with seamless and flexible access to information from multiple anonymous, distributed and heterogeneous data sources through a unified query interface. Information integration traditionally was dealing with the heterogeneities in structure and syntax. The heterogeneities in semantics are standing out while the data repositories are becoming large in size, dynamic, and widely distribution, in addition to the lack of the unified vocabulary among the data sources. In this paper, We propose a semantics-oriented informationintegration method------ontology-driven semantics-oriented information integrationmethod, which introduce the ontology as the unified semantic vocabulary into the SISEG and support query in the semantic layer to implement the data sharing and interaction among the multiple data sources.Query processing in the semantic layer is an important process in the semantics-oriented information integration. It plays an significant role in the whole integration as the query answer is closely associated with the final result. Due to theheterogeneities, distribution, dynamic of the data sources, there is no systematic, embedded and detailed research on this problem. In this paper, we introduce a logical architecture of semantic information integration, describing the unified vocabulary, ontology, which is necessary in the integration, and the process of semantic integration using ontology.We also give the solution of the semantic query processing of the SISEG, system and discussing the problem in the query processing. Associating with the background of e-government application, we make a deep analysis of query processing in the semantic-oriented information integration.