Abstract
Data integration is the flexible and managed federation, analysis, and processing of data from different distributed sources. Data integration is becoming as important as data mining for exploiting the value of large and distributed data sets that are available today. Distributed processing infrastructures such as Grids can be used for data integration on geographically distributed sites. This paper presents a framework for integrating heterogeneous XML data sources distributed among the nodes of a Grid. We propose 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 the GDIS architecture. GDIS is a service-based architecture for providing data integration in Grids using a decentralized approach. The underlying model of such architecture is discussed and we show how it fits the XMAP formalism/algorithm.
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Comito, C., Talia, D. (2006). XML Data Integration in OGSA Grids. In: Pierson, JM. (eds) Data Management in Grids. DMG 2005. Lecture Notes in Computer Science, vol 3836. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11611950_2
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DOI: https://doi.org/10.1007/11611950_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31212-3
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