Ontology Automatic Generation And Ontology Mapping In Information Integration System

Information integration can utilize the existing knowledge to the utmost extent, and it can shield the characteristics of data such as semi-structured, heterogeneity and distribute, consequently provides a unified pattern for users to realize information exchanges for heterogeneous data repository and to obtain valuable information from heterogeneous data repository.Ontology is an explicit specification of a conceptualization; it can availably express the general knowledge in certain fields, and can be universal semantic model of information integration. So, at present, the active research on approaches to information integration is mostly based on ontology.In this paper, we propose an approach for integration of heterogeneous data sources and discuss automatic generation technology for ontology and make a study concentrate on the mappings, on the basis of analyzing the characteristics of the web and the technique of information integration for web. In brief, we make the following contributions in this paper:1. We provide an ontology-based framework OISA (Ontology-based Integration System Architecture) for integration and querying Web-accessible heterogeneous data sources. This framework resolve the problem of semantic heterogeneous between different data sources and provide a uniform query interface for the user.2. We provide a automatic generation technology for ontology. this technology has enhanced the efficiency, and reduced the error occurrence.3. We propose an approach based on semantic similarity and restriction similarity to automatically discover the mapping between ontologism.