A comparative analysis of methodologies for database schema integration
ACM Computing Surveys (CSUR)
The Piazza Peer Data Management System
IEEE Transactions on Knowledge and Data Engineering
Queries and updates in the coDB peer to peer database system
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Association rule mining in peer-to-peer systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Organisations often store information about the same entity objects or features in different formats. Accessing and integrating this distributed information can be a difficult task because of schema differences and database platform issues. In this paper, a discussion on query coordination in schema conflicting databases of Peer-to-Peer (P2P) systems is presented. The coordination mechanism with a global query to resolve the issue is proposed. The coordination mechanism is done without peers knowing each others schemas by translating the global query into the local query according to the under lying database schema while a wrapper is used to deal with database platform issues. The paper simulates a real-life application and shows that schema resolution by a query coordination mechanism in P2P systems is effective and minimises most of the complexities encountered by schema integration systems.