A Semantic-driven adaptive architecture for large scale P2P networks

Vrusias, BL, Eftychiou, A and Antonopoulos, N (2010) A Semantic-driven adaptive architecture for large scale P2P networks International Journal of Grid and High Performance Computing, 2 (4). pp. 12-30.

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Abstract

The increasing amount of online information demands for effective, scalable and accurate mechanisms to manage and search this information. Distributed semantic-enabled architectures, which enforce semantic web technologies for resource discovery, could satisfy these requirements. In this work a semantic-driven adaptive architecture is presented, aiming to improve existing resource discovery processes. The P2P network is organised in a two-layered super-peer architecture. The network formation of super-peers is a conceptual representation of the network’s knowledge, which is shaped from the information provided by the nodes using collective intelligence methods. The main focus of the paper is on the creation of a dynamic hierarchical semantic-driven P2P topology using the network’s collective intelligence. The unmanageable amounts of data are therefore transformed into a repository of semantic knowledge, transforming the network into an ontology of conceptually related entities of information collected from the resources located in the peers. Appropriate experiments have been undertaken through a case study, by simulating the proposed architecture and evaluating the results.

Item Type:	Article
Authors :	Name Email ORCID Vrusias, BL Eftychiou, A Antonopoulos, N
Date :	2010
Identification Number :	10.4018/jghpc.2010100102
Uncontrolled Keywords :	peer-to-peer (P2P) networks, semantic web, domain ontology, collective intelligence, distributed information retrieval
Depositing User :	Symplectic Elements
Date Deposited :	28 Mar 2017 14:09
Last Modified :	31 Oct 2017 14:44
URI:	http://epubs.surrey.ac.uk/id/eprint/724461

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