Content-based search using self-organizing peer-to-peer network

Authors:
Igor Mekterovic;Krešimir Križanovic;Mirta Baranovic
Affiliations:
Department of Applied Computing, Faculty of Electrical Engineering and Computing, University Of Zagreb, Zagreb, Croatia;Department of Applied Computing, Faculty of Electrical Engineering and Computing, University Of Zagreb, Zagreb, Croatia;Department of Applied Computing, Faculty of Electrical Engineering and Computing, University Of Zagreb, Zagreb, Croatia
Venue:
SEPADS'08 Proceedings of the 7th WSEAS International Conference on Software Engineering, Parallel and Distributed Systems
Year:
2008

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Abstract

In order for peer-to-peer (P2P) content sharing network to be scalable, it is imperative to efficiently route queries through the network. Semantic based search should, with as little messages (traffic) as possible, return just those relevant documents stored throughout the network thus achieving precision and recall values comparable to those of correspondent centralized system. In this article we propose protocols for self-organizing P2P network that arranges links between peers according to peer's content. In proposed network peers organize themselves into "semantic communities" but without losing links to other semantic communities. Proposed network has no prior knowledge of the semantics of documents that are to be stored in the system.