Web社区搜索引擎的研究与设计

Web社区是组织之间实现信息交流、共享和讨论的环境。一个Web社区一般涉及几十到几百个组织,怎样快速的从组成Web社区的组织中获取信息是一个很重要的问题。论文分析了Web社区搜索的特点,介绍了Web搜索引擎的基本原理。基于Web抓取器,向量空间模型,结合相关性排序等技术实现了一个Web社区搜索引擎——ChinalabSearch,详细阐述了系统的体系结构。根据对系统的性能评估,系统满足Web社区的搜索要求,可以提高在社区内查找信息的效率,为组织间的合作提供方便。

Research and Design of Web Community Search Engine

Web community is a platform for information sharing and communication among organizations.It is common that a Web community involves several hundreds Web sites,and it is very important to search the information among the Web sites effectively.We analyse the characteristic of the Web community,introduce the fundamental principals of Web search engine.Based on Web crawler,space vector model and ranking by relevance technology,we develope the Web community search engine system-ChinalabSearch.The architecture of the ChinalabSearch system is presented and based on the performance evaluation.The search system improves the information retrieval performance in the community and makes the collaboration among organizations more effective.