摘要
To avoid the scalability of the existing systems that employed centralized indexing,index flooding or query flooding,we proposed an efficient peer-to-peer information retrieval system SPIRS (Semantic P2P-based Information Retrieval System) that supported state-of-the-art content and semantic searches. SPIRS distributes document indices through P2P network hierarchically by Latent Semantic Indexing (LSI) and organizes nodes into a hierarchical overlay through CAN and TRIE. Comparing with other P2P search techniques,those based on simple keyword matching,SPIRS has better accuracy for considering the advanced relevance among documents. Given a query,only a small number of nodes are needed for SPIRS to identify the matching documents. Furthermore,both theoretical analysis and experimental results show that SPIRS possesses higher accuracy and less logic hops.
To avoid the scalability of the existing systems that employed centralized indexing, index flooding or query flooding, we proposed an efficient peer-to-peer information retrieval system SPIRS （Semantic P2P-based Information Retrieval System） that supported state-of-the-art content and semantic searches. SPIRS distributes document indices through P2P network hierarchically by Latent Semantic Indexing （LSI） and organizes nodes into a hierarchical overlay through CAN and TRIE. Comparing with other P2P search techniques, those based on simple keyword matching, SPIRS has better accuracy for considering the advanced relevance among documents. Given a query, only a small number of nodes are needed for SPIRS to identify the matching documents. Furthermore, both theoretical analysis and experimental results show that SPIRS possesses higher accuracy and less logic hops.
基金
the Nartional Basic Research Programof China(Grant No.2002CB312002)
the Science and Technology Commission of Shanghai Munic-ipality Project(Grant No.03dz15027 and 03dz15028).
