Data Management

Integrating Heterogeneous Data Source Using Ontology

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Executive Summary

Integrating data from multiple heterogeneous sources entail dealing with different data models, schemas and query languages. The burgeoning Semantic Web has provided several new methods for data integration. This paper focuses on integration of relational database and XML data. To solve the problem the authors propose an ontology-based approach. A semantic integration infrastructure for heterogeneous data sources is presented. In this infrastructure, ontology is used as the mediated schema for the representation of the data source semantics. To model different source schemas, they propose a describing method based on RDF graph patterns.

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