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MULTI-DATA SOURCE FUSION APPROACH IN PEER-TO-PEER SYSTEMS

Abstract : In this paper, a new approach for data fusion in the context of schema-based Peer-To-Peer (P2P) systems is proposed. Schema-based systems manage and provide query capabilities for (semi-)structured information: queries have to be formulated in terms of schema. Schema-based P2P are called Peer Data Management system (PDMS). A challenging problem in a schema-based peer-to-peer (P2P) system is how to locate peers who have data relevant to a given query. Our proposal lies in application of the multi-data source fusion approach in the context of PDMS. Multi-data source schemas, distributed, shared and maintained by peers, are the basis of a semantic overlay network. The semantic overlay network and the power of Multi-data source Fusion Language (MFL) are exploited for efficient query routing towards the relevant peers. We show the design of the Peer Multi-Data source Management System (PMDMS) and we focus on the Matchmaker and routing components. We give a performance evaluation of the semantic query routing with respect to important criteria such as precision, recall, response time and number of messages. We give a performance evaluation of the semantic reconciliation between peers. We compare this result with other systems developed according to peer/super-peer approach. Finally, we show a prototype developed according to PMDMS. We build an application that shares, data between peers, in the domain of leisure such as, bank, cinema, restaurant, etc.
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http://hal.univ-nantes.fr/hal-00482095
Contributor : Gilles Nachouki <>
Submitted on : Saturday, May 8, 2010 - 11:37:23 AM
Last modification on : Thursday, April 5, 2018 - 10:36:49 AM

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  • HAL Id : hal-00482095, version 1

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Gilles Nachouki, Chastang Marie-Pierre. MULTI-DATA SOURCE FUSION APPROACH IN PEER-TO-PEER SYSTEMS. International journal of Database (Weston, Conn.) Management Systems, 2010, 2 (1), pp.20. ⟨hal-00482095⟩

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