Grid data integration based on schema mapping

Abstract

Data integration is the flexible and managed federation, analysis, and processing of data from different distributed sources. Data integration is a key issue for exploiting the availability of large, heterogeneous, distributed and highly dynamic data volumes on Grids. This paper presents a framework for integrating heterogeneous XML data sources distributed among the nodes of a Grid. We present a query reformulation algorithm to combine and query XML documents through a decentralized point-to-point mediation process among the different data sources based on schema mappings. The above cited XML integration formalism is exposed as a Grid Service within an OGSA-based Grid architecture. © Springer-Verlag Berlin Heidelberg 2007.