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基于本体的Deep Web查询接口分类
引用本文:徐和祥,王述云,胡运发.基于本体的Deep Web查询接口分类[J].小型微型计算机系统,2008,29(10).
作者姓名:徐和祥  王述云  胡运发
作者单位:复旦大学,计算机与信息技术系,上海,200433
摘    要:目前对于分类问题,主要工作集中在文本或Web文档的分类研究,而很少有对deep Web查询接口的分类研究.deep Web源包括查询接口和查询结果,大量的deep Web源的存在,对它们查询接口的分类是通向deep Web分类集成和检索的关键步骤.本分提出一种deep Web本体分类方法,包括:分类本体的概念模型和由此产生的deep Web空间向量模型(VSM).试验表明,这种分类方法具有良好的分类效果,平均准确率达到91.6%,平均查全率达到92.4%.

关 键 词:本体  查询接口  分类

Ontology-based Query Interfaces Classification of Deep Web
XU He-xiang,WANG Shu-yun,HU Yun-fa.Ontology-based Query Interfaces Classification of Deep Web[J].Mini-micro Systems,2008,29(10).
Authors:XU He-xiang  WANG Shu-yun  HU Yun-fa
Affiliation:XU He-xiang,WANG Shu-yun,HU Yun-fa(Department of Computing , Information Technology,Fudan University,Shanghai 200433,China)
Abstract:To date,in terms of the classification,existing works mainly focus on classifying texts or Web documents,and there is little in the deep Web.Many deep Web sources are structured by providing structured query interfaces and results.Classifying query interfaces into domains is one of the critical steps toward the integration of heterogeneous Web sources.In this paper,we present an Ontology-based query interfaces classification,which includes a category Ontology model and a novel weight calculation over Vector...
Keywords:Deep Web
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