A Semantic-Based Approach for Data Management in a P2P System

摘要: Data management in P2P Systems is a challenging problem, due to the high number of autonomous and heterogeneous peers. In some Peer Management (PDMSs), peers are semantically clustered overlay network. A peer joining system assigned an appropriate cluster, query issued by user at given routed semantic neighbor clusters which can provide relevant answers. To help matters, knowledge form ontologies contextual information has been used successfully support techniques manage data such systems. Ontologies be solve heterogeneities between peers, while allows PDMS deal with that acquired dynamically during execution query. The goal this paper point out how semantics provided enhance results two important issues PDMSs, namely, clustering reformulation. We present semantic-based approach these processes we report experimental show improve them.