| 苟和平,景永霞,刘强.一种基于XML分析的Deep Web查询接口分类研究[J].南华大学学报(自然科学版),2016,30(2):78~82.[GOU He-ping,JING Yong-xia,LIU Qiang.Study on Query Interface Classification of Deep Web Based on XML Analysis[J].Journal of University of South China(Science and Technology),2016,30(2):78~82.] |
| 一种基于XML分析的Deep Web查询接口分类研究 |
| Study on Query Interface Classification of Deep Web Based on XML Analysis |
| 投稿时间：2016-01-21 |
| DOI： |
| 中文关键词: Deep Web 查询接口 特征表示 XML |
| 英文关键词:Deep Web query interface feature representation XML |
| 基金项目:海南省自然科学基金资助项目(20156241);海南省高等学校科学研究基金资助项目(Hnky2015-72);琼台师范高等专科学校科研基金资助项目(qtky201404) |
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| 中文摘要: |
| Deep Web查询接口分类是实现Deep Web在线数据库分类访问的主要方法,本文在研究查询接口特征数据抽取和表示的基础上,通过对查询接口所在Web页的位置来构建对应的接口特征XML文档,根据XML文档中的节点位置不同,分别为不同的查询接口特征赋予不同的分类权重因子,以提高有效特征的分类能力,并采用信息增益算法实现最终分类特征的选择,然后采用KNN分类算法实现查询接口分类,实验结果表明此方法的实际可行性. |
| 英文摘要: |
| Deep Web query interface classification is the main way to achieve access to Deep Web online databases.Based on the study of query interface features extraction and representation,the query interface features document in XML were built according to the feature position in Web page.Because the position of XML nodes were different,the classification weight of the query interface features was also different,which can enhance classification capability of effective feature.The final classification features were selected by using the information gain algorithm,and then KNN classification algorithm was used to realize the query interface classification.The experimental results show that the method can improve the efficiency about query interface classification. |
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