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基于领域知识和决策树的Deep Web数据标注 被引量:1

Domain Knowledge and Decision Tree Based Annotation for Deep Web Data
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摘要 数据标注是D eep W eb数据集成系统的重要组成部分。建立了领域标注模型,描述数据标注的思想,根据不同的数据,使用领域知识和决策树两种标注方法,给出标注算法描述,最后以图书领域作为标注对象进行实验。实验结果表明该方法可高效、准确地对D eep W eb数据进行标注。 Data annotation is an important part in deep web integration system. At first,builds a domain annotation model and describes the principle of the data annotation. And then,analyzes different situations ,gives an annotation program description. Finally uses the book domain as an example to do the experiments. The experiments indicate that the proposed methods can get a good performance to annotate the deep web data.
出处 《广西师范大学学报(自然科学版)》 CAS 北大核心 2009年第1期129-132,共4页 Journal of Guangxi Normal University:Natural Science Edition
基金 河北省科技攻关计划资助项目(05213573) 河北省教育厅科学研究重点资助项目(ZH200804)
关键词 DEEP WEB 数据标注 领域知识 决策树 deep web data annotation domain knowledge decision tree
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参考文献6

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共引文献185

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