Research on Heterogeneous Data Sharing Based on Ontology
Guozeng Zhao, Guoqiang Ding
Abstract
Open-access reader
Guozeng Zhao, Guoqiang Ding
Abstract
Open-access reader
The traditional method of heterogeneous data sharing can not describe the formal semantics of data and finds it difficult to solve the semantic heterogeneity in the heterogeneous information sharing.Based on the XML-based heterogeneous data integration technology, the heterogeneous data sharing method is proposed based on ontology by introducing metadata and ontology.By metadata's specifying the distributed, heterogeneous data and by describing semantic information of data source , having "ontology" as a common semantic model, semantic match is established through ontology mapping between heterogeneous data sources and semantic difference institutions are shielded, so that semantic heterogeneity problem of the heterogeneous data sources can be effectively solved.Experiments show that the method can solve the problem of semantic heterogeneity of heterogeneous data.
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The traditional method of heterogeneous data sharing can not describe the formal semantics of data and finds it difficult to solve the semantic heterogeneity in the heterogeneous information sharing.Based on the XML-based heterogeneous data integration technology, the heterogeneous data sharing method is proposed based on ontology by introducing metadata and ontology.By metadata's specifying the distributed, heterogeneous data and by describing semantic information of data source , having "ontology" as a common semantic model, semantic match is established through ontology mapping between heterogeneous data sources and semantic difference institutions are shielded, so that semantic heterogeneity problem of the heterogeneous data sources can be effectively solved.Experiments show that the method can solve the problem of semantic heterogeneity of heterogeneous data.
Key concepts: Computer science, Semantic heterogeneity, Semantic integration, Metadata, Semantic grid, Ontology, Data mapping, Semantic computing