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基于本体的Deep Web自动标注方法研究 被引量:1

Research on Ontology-based Automatic Annotation for Deep Web
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摘要 结合基于查询接口模式的Deep Web标注方法,提出一种基于网页视觉信息的Deep Web标注方法,用本体词组去替换原有标注信息,这种替换确保标注信息的一致性,可以很好地弥补原有方法的许多缺陷,并且有效提高原有方法的准确率和召回率。 This paper puts forward a kind of labelling method according to the Web page sense of vision information, which is also based on the inquiry connection pattern labelling method. Then it uses ontology phrases to replace the original label information, and the replacement of label information can ensure the labelling information uniformity. This method is a good way to make up the defects of original method, and effectively improves the precision and recall.
出处 《现代图书情报技术》 CSSCI 北大核心 2009年第9期45-50,共6页 New Technology of Library and Information Service
基金 国家社会科学基金项目"信息技术环境下多元学与教方式有效融入日常教学的研究"(项目编号:BCA060616)的研究成果之一
关键词 自动注释Deep WEB 本体 视觉信息 Automatic annotation Deep Web Ontology Vision information
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参考文献9

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二级参考文献24

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