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- W201655498 abstract "P2P data integration is one of the prominent studies in recent years. It relies on two principal axes, including data integration and P2P computing. It aims to combine the advantages of data integration and P2P technologies to overcome centralized solutions shortcomings. However, dynamicity and large scale are the most difficult challenges faced for efficient solutions. In this paper, we investigate P2P computing and data integration fundamentals and detail the challenges that face the P2P data integration process. In addition, we presenta vector space model based approach our P2P semantic data integration framework. In a first stage, we detail the various modules of our framework and specify the functions of each one. Then, we present our vector space model to represent semantic knowledge. We present also the knowledge base components that hold semantic. Finally, we explain how we deal with network dynamicity and how semantic should be adjusted accordingly." @default.
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- W201655498 date "2011-01-01" @default.
- W201655498 modified "2023-09-26" @default.
- W201655498 title "Managing Network Dynamicity in a Vector Space Model for Semantic P2P Data Integration" @default.
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- W201655498 doi "https://doi.org/10.1007/978-3-642-27337-7_17" @default.
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