Semantic P2P search engine

This paper discusses the possibility to use Peer-to-Peer (P2P) scenario for information-retrieval (IR) systems for higher performance and better reliability than classical client-server approach. Our research emphasis has been placed on design intelligent Semantic Peer-to-Peer search engine as multi-agent system (MAS). The main idea of the proposed project is to use semantic model for P2P overlay network, where peers are specified as semantic meta-models by the standardized OWL language from The World Wide Web Consortium. Using semantic model improve the quality of communication between intelligent peers in this P2P network. Undoubtedly, proposed semantic P2P network has all advantages of normal P2P networks and in the first place allow deciding a point with bottle-neck effect (typical problem for client-server applications) by using a set of peers for storing and data processing.