Efficient Semantic-based Content Search in P2P Network
Author(s)
Shen, Heng Tao
Shu, Yan Feng
Yu, Bei
Date Issued
January 2004
Series/Report no.
Computer Science (CS);
Abstract
Most existing Peer-to-Peer (P2P) systems support only title-based searches and are limited in functionality when compared to today’s search engines. In this paper, we present the design of a distributed P2P information sharing system that supports semantic-based content searches of relevant documents. First, we propose a general and extensible framework for searching similar documents in P2P network. The framework is based on the novel concept of Hierarchical Summary Structure. Second, based on the framework, we develop our efficient document searching system, by effectively summarizing and maintaining all documents within the network with different granularity. Finally, an experimental study is conducted on a real P2P prototype, and a large-scale network is further simulated. The results show the effectiveness, efficiency and scalability of the proposed system.
Subjects
content-based
similarity search
peer-to-peer
hierarchical summary
indexing
Persistent DSpace Link
