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A Grid Middleware DISQ for Data Integration

Xin Wang, Linpeng Huang, Yi Zhang

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Abstract

The Grid offers new opportunities and raises new challenges for data integration. The Grid communities have paid great attention to data integration middle ware in grid environment. But few of those projects actually establish semantic connections among heterogeneous data sources. Recently, several resolutions of data integration in grid environment have been proposed. However most of them put their emphasis in a particular data integration domain such as medical data integration than a common grid data integration middle ware. So in this paper we provide a grid middle ware DISQ for semantic data integration based on a data model which is extended for data inconsistency solution to improve the quality of data integration by introducing data source quality criteria into the data model. It provides application interfaces to user and to semantically integrate data sources based on our data model, it encapsulates services provided by OGSA-DAI which only shields data sources' physical access heterogeneity.

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What this paper is about

The Grid offers new opportunities and raises new challenges for data integration. The Grid communities have paid great attention to data integration middle ware in grid environment. But few of those projects actually establish semantic connections among heterogeneous data sources. Recently, several resolutions of data integration in grid environment have been proposed. However most of them put their emphasis in a particular data integration domain such as medical data integration than a common grid data integration middle ware. So in this paper we provide a grid middle ware DISQ for semantic data integration based on a data model which is extended for data inconsistency solution to improve the quality of data integration by introducing data source quality criteria into the data model. It provides application interfaces to user and to semantically integrate data sources based on our data model, it encapsulates services provided by OGSA-DAI which only shields data sources' physical access heterogeneity.

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Available abstract

The Grid offers new opportunities and raises new challenges for data integration. The Grid communities have paid great attention to data integration middle ware in grid environment. But few of those projects actually establish semantic connections among heterogeneous data sources. Recently, several resolutions of data integration in grid environment have been proposed. However most of them put their emphasis in a particular data integration domain such as medical data integration than a common grid data integration middle ware. So in this paper we provide a grid middle ware DISQ for semantic data integration based on a data model which is extended for data inconsistency solution to improve the quality of data integration by introducing data source quality criteria into the data model. It provides application interfaces to user and to semantically integrate data sources based on our data model, it encapsulates services provided by OGSA-DAI which only shields data sources' physical access heterogeneity.

Key concepts: Data grid, Data integration, Computer science, Semantic grid, Ontology-based data integration, Grid, Data virtualization, Middleware (distributed applications)

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