Synonyms
Decentralized data integration system; PDMS
Definition
A Peer Data Management System (PDMS) is a triple S = 〈P, S, M〉 where P is a set of autonomous peers, S a set of heterogeneous schemas used by the peers to represent their data, and M a set of schema mappings, each enabling the reformulation of queries between a given pair of schemas.
Key Points
A Peer Data Management System (PDMS) is a distributed data integration system providing transparent access to heterogeneous databases without resorting to a centralized logical schema. Instead of imposing a uniform query interface over a mediated schema, PDMSs let the peers define their own schemas and allow for the reformulation of queries through mappings relating pairs of schemas (see Fig. 1). PDMSs typically exploit the schema mappings transitively in order to retrieve results from the entire network.
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Arenas M, Kantere V, Kementsietsidis A, Kiringa I, Miller RJ, Mylopoulos J. The hyperion project: from data integration to data coordination. ACM SIGMOD Rec. 2003;32(3):53–8.
Cudré-Mauroux P. Emergent semantics. EPFL Press; 2008.
Halevy A, Ives Z, Madhavan J, Mork P, Suciu D, Tatarinov I. The piazza peer data management system. IEEE Trans Knowl Data Eng. 2004;16(7): 787–98.
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Cudré-Mauroux, P. (2018). Peer Data Management System. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_1233
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DOI: https://doi.org/10.1007/978-1-4614-8265-9_1233
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