Matchmaking Based Semantic Agreement Approach for Discovery of P2P Sources

Peer-to-Peer (P2P) systems provide a solution for sharing data. Finding appropriate sources in efficient and robust manner is still a challenging problem. We propose a model where each peer advertises his content of information based on half agreement at P2P environment. Every source develops a half agreement between local schema of sources and common ontology of super peer. Finding of appropriate sources will base on matchmaking between half agreement among sources and requests. Our approach consider P2P with super peer model architecture.