Quality-oriented and Metadata-driven Integration in Information Grids

The goal of information grids is to provide a virtually integrated view on information, which is physically stored in many distributed nodes of the grid. A user should be able to query the grid through a uniform query interface using a common data model, without knowing the details of the distribution of the data. Information grids that integrate information from heterogeneous resources have to resolve the problems of semantic and structural heterogeneity, and also take into account different quality characteristics of the sources. This paper addresses the integration in information grids, and adopts results for data integration in data warehouses to the information grid. The contributions of this paper are (i) an extended metadata framework to capture the different types of metadata of an information grid, (ii) the integration of quality aspects into this framework, and (iii) a methodology for a quality-oriented and metadata-driven integration of information.

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