A Knowledge-Driven Architecture for Efficient Resource Discovery in P2P Networks
As shared electronic data increases, it has become more difficult to manage it successfully and the demand for scalable and efficient mechanisms for managing and retrieving data effectively becomes essential. In this paper a more effective P2P architecture is presented, aiming to improve existing resource discovery processes. The proposed architecture is organised as a hierarchical super-peer structure, where super-peers of the network represent network's knowledge that is formalised dynamically using its peers' resources. The main focus of this paper is the creation of an adaptive hierarchical concept-based P2P topology using collective intelligence methods.