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Scalable distributed information retrieval model based on topic map and mobil agent

机译:可扩展的分布式信息检索模型主题地图和Mobil代理

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In view of the problems of centralized search engine and based on analyzing the technology of topic map, OAI, mobile Agent and P2P, we design and implement a Scalable Distributed Retrieval Model based on Topic Map and Mobile Agent. The model can effectively improve the utilization rate of resources, increase search depth, overcome server failure and heterogeneity of network, and has a strong capacity for expansion, fault-tolerant and parallel processing
机译:鉴于集中搜索引擎的问题,基于分析主题地图,OAI,移动代理和P2P技术,我们基于主题地图和移动代理设计和实现可扩展的分布式检索模型。该模型可以有效地提高资源的利用率,增加搜索深度,克服网络的服务器故障和网络的异构性,具有强大的扩展容量,容错和并行处理

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