Efficient semantic-based content search in P2P network
Most existing peer-to-peer (P2P) systems support only title-based searches and are limited in functionality when compared to today's search engines. We present the design of a distributed P2P information sharing system that supports semantic-based content searches of relevant documents. First,...
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| Veröffentlicht in: | IEEE transactions on knowledge and data engineering 2004-07, Vol.16 (7), p.813-826 |
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| container_title | IEEE transactions on knowledge and data engineering |
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| creator | Shen, H.T. Shu, Y. Yu, B. |
| description | Most existing peer-to-peer (P2P) systems support only title-based searches and are limited in functionality when compared to today's search engines. 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. |
| doi_str_mv | 10.1109/TKDE.2004.1318564 |
| format | Article |
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| ispartof | IEEE transactions on knowledge and data engineering, 2004-07, Vol.16 (7), p.813-826 |
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| subjects | Broadcasting Content based retrieval Costs Design engineering Extensibility Indexing Intelligent networks Large scale integration Network servers Networks Peer to peer computing Prototypes Search engines Searching Simulation Summaries Web server |
| title | Efficient semantic-based content search in P2P network |
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