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基于分类语义的Web信息检索系统 被引量:2

Web Information Retrieval System based on Classification Semantics
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摘要 在海量数据空间中快速、准确地获取用户所需Web信息成为检索系统研究的焦点.将一种全新的网页自动分类技术引入WWW信息抽取领域来解决网上信息有效获取的问题,设计一个基于分类语义的搜索引擎系统———SESC系统.通过Web数据抽取机制以及Web信息分类技术实现检索结果的分类和层次化展示,使得用户快捷地从WWW上获取所需信息. It becomes more and more important in information retrieval research that how to obtain the web information what users need among magnanimity data space fast and accurately. In order to improve the performance of search engine this paper applies a new technology of web-page classification to the ex- isting search engine and designs a search engine system which is based on classification semantics~ SECS system. The search result can be classified into groups and displayed hierarchically by web Infor- mation extraction mechanism and web information automatic classification for users to obtain what they need on WWW fast.
机构地区 沈阳化工学院
出处 《沈阳化工学院学报》 2006年第4期300-304,共5页 Journal of Shenyang Institute of Chemical Technolgy
关键词 信息检索 分类语义 web数据抽取机制 层次化展示 information retrieve classification semantics web information extraction mechanism hierarchical display
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参考文献4

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共引文献4

同被引文献8

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