Supporting ranked search in parallel search cluster networks

We investigate how to support ranked keyword search in a Parallel Search Cluster Network, which is a newly proposed peer-to-peer network overlay. In particular, we study how to efficiently acquire and distribute the global information required by ranked keyword search by taking advantage of the architectural features of PSCNs. Categories and Subject Descriptors: H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval– search process; H.3.4 [Information Storage and Retrieval]: Systems and Software–distributed systems, information networks, performance evaluation (efficiency and effectiveness) General Terms: Measurement, Performance

• Type: Conference
• Year: 2005
• Where: CIKM
• Authors: Fang Xiong, Qiong Luo, Dyce Jing Zhao
• Keywords: CIKM 2005, Parallel Search Cluster, Peer-to-peer Network Overlay, Ranked Keyword Search