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Foundations of Databases: The Logical Level
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IPTPS '01 Revised Papers from the First International Workshop on Peer-to-Peer Systems
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The VLDB Journal — The International Journal on Very Large Data Bases
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ACM SIGMOD Record
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VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
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ACM SIGMOD Record
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ER '09 Proceedings of the 28th International Conference on Conceptual Modeling
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DBISP2P'05/06 Proceedings of the 2005/2006 international conference on Databases, information systems, and peer-to-peer computing
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Information Systems
Don’t mind your vocabulary: data sharing across heterogeneous peers
OTM'05 Proceedings of the 2005 Confederated international conference on On the Move to Meaningful Internet Systems - Volume >Part I
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EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
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WISE'06 Proceedings of the 7th international conference on Web Information Systems
Relational peer to peer database management systems: a survey
Journal of Computational Methods in Sciences and Engineering
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We consider the problem of data sharing between autonomous data sources in an environment where constraints cannot be placed on the shared contents of sources. Our solutions rely on the use of mapping tables which define how data from different sources are associated. In this setting, the answer to a local query, that is, a query posed against the schema of a single source, is augmented by retrieving related data from associated sources. This retrieval of data is achieved by translating, through mapping tables, the local query into a set of queries that are executed against the associated sources. We consider both sound translations (which only retrieve correct answers) and complete translations (which retrieve all correct answers, and no incorrect answers) and we present algorithms to compute such translations. Our solutions are implemented and tested experimentally and we describe here our key findings.