Federated database systems for managing distributed, heterogeneous, and autonomous databases
ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Querying Heterogeneous Information Sources Using Source Descriptions
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Novel mediator architectures for Grid information systems
Future Generation Computer Systems
A service-oriented system for distributed data querying and integration on Grids
Future Generation Computer Systems
Grid data integration based on schema mapping
PARA'06 Proceedings of the 8th international conference on Applied parallel computing: state of the art in scientific computing
PARIS: a peer-to-peer architecture for large-scale semantic data integration
DBISP2P'05/06 Proceedings of the 2005/2006 international conference on Databases, information systems, and peer-to-peer computing
Future Generation Computer Systems
A systematic approach to the integration of overlapping partitions in service-oriented data grids
Future Generation Computer Systems
An ETL process for OLAP using RDF/OWL ontologies
Journal on Data Semantics XIII
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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.