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Deep Web中基于关联规则的整体模式匹配

Association Rules-based Holistic Schema Matching on the Deep Web

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【作者】 兰洋尤磊

【Author】 LAN Yang,YOU Lei(Xinyang Normal University,Xinyang 464000,China)

【机构】 信阳师范学院

【摘要】 不同于Surface Web的信息获取方式,Deep Web中用户需通过查询接口才能得到其中的数据.查询接口一般形成属性间复杂的m:n匹配.为统一相同领域的查询接口,提出了一种基于关联规则的匹配方法,从整体上双重匹配成组属性和同义属性,很好地实现了同一领域中查询接口的整合问题.特别对于大量的数据源时,无论是准确率还是效率都比传统的方法有很大的提高.

【Abstract】 Different from the method of getting information on the surface web,data can be obtained on the Deep Web through the query interfaces which generally form m:n matching between attribute groups. In order to unify the query interfaces in same domains,a novel matching approach based on the association rules was introduced and it can solve the integration problem of the query interfaces in same domains through matching the grouping attributes and synonym attributes holistically. The approach has improved markedly in accuracy and efficiency when there are lots of data resources to be queried.

  • 【文献出处】 信阳师范学院学报(自然科学版) ,Journal of Xinyang Normal University(Natural Science Edition) , 编辑部邮箱 ,2009年04期
  • 【分类号】TP393.09
  • 【下载频次】68
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