WSEAS Transactions on Computers
Print ISSN: 1109-2750, E-ISSN: 2224-2872
Volume 12, 2013
Quality Aware Service Oriented Ontology Based Data Integration
Authors: ,
Abstract: Integration of multiple, distributed, and heterogeneous sources are essential for scientific and commercial domains. Ensuring data quality in data integration is an issue or challenge because of their varying quality levels. The existing data integration methodologies do not assure quality of data as it is difficult to assess. The Meta data of data sources do not provide quality details and it is difficult to choose best query plan. It is also difficult to predict the resultant data quality before integration. To mitigate above issues, this paper proposes Service Oriented Data Integration with Quality of Service (SODI-QoS) architecture. The SODI-QoS architecture has wrapper mediator layer, which consists of semantic conflict resolution layer and Quality of Service (QoS) layer. Semantic conflict resolution layer uses ontology to create local and global schema to resolve semantic conflicts. The QoS layer detects and resolves the incompleteness and inaccuracy of resultant data of data sources. The proposed architecture provides high-quality data results to the end-user and notification about the incompleteness and inaccuracy of the source is communicated to respective data sources. The E-shopping application has been proposed to analyze the performance of the SODI-QoS architecture. Experimental results illustrates that the accuracy and precision of SODI-QoS architecture has been improved by 12% 14% respectively than the ontology based data integration.
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Keywords: Data integration, Quality of service, Semantic conflict, data completeness, source completeness, accuracy