Service Oriented Ontology Based Data Federation for Heterogeneous Data Sources

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Provided by: Journal of Theoretical and Applied Information Technology
Topic: Data Management
Format: PDF
Data integration is inevitable in current distributed heterogeneous database environment. The existing data integration system uses data federation to integrate the distributed data without duplicating the data sources or creating a new integrated data store for analysis and decision support. The contemporary data federation techniques convert the data sources to XML dataset and integrate the data. These systems do not resolve all conflicts efficiently. This paper proposes a layered Service Oriented Ontology based Data federation Architecture [SOOD] and hybrid ontology based data federation methodology over the SOOD architecture. This converts the metadata of data sources into OWL description for constructing global ontology using Local As View [LAV] approach for data federation.
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