@ARTICLE{Shen_04,
    AUTHOR      = {Heng Tao Shen and Yanfeng Shu and Bei Yu},
    TITLE       = {{Efficient Semantic-Based Content Search in P2P Network}},
    JOURNAL     = {{IEEE Transactions on Knowledge and Data Engineering}},
    YEAR        = {2004},
    VOLUME      = {16},
    NUMBER      = {},
    PAGES       = {813--826},
    MONTH       = {July},
    NOTE        = {},
    KEYWORDS    = {},
    ISBN        = {},
    URL         = {http://csdl.computer.org/comp/trans/tk/2004/07/k0813abs.htm},
    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 Hierarchial 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.},
}