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Automatic Filling Forms of Deep Web Entries Based on Ontology

机译:基于本体的深层网络条目自动填写表格

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In deep web, a significant amount of information can only be accessed through query interface of a back-end database, however, general search engine can not interact with the query interface, resulting in the myriad hidden and unvisible information can not be accessed. Therefore, this paper proposes a novel method of filling forms of deep web entries by importing ontology technique. Firstly, construct core ontology and the semantics of concepts in the core ontology can be enriched during schema matching. Secondly, capture the matching relationships between local interfaces and integration interface, and decompose the query conditions of integration interface which are submitted by user into corresponding query conditions of local interfaces to finish filling forms of deep web entries automatically. Lastly, automatically trigger button to submit query. Experiment result shows that this method is feasible and effective.
机译:在深度网络中,只能通过后端数据库的查询界面访问大量信息,但是,常规搜索引擎无法与查询界面进行交互,从而导致无法访问无数隐藏和不可见的信息。因此,本文提出了一种通过导入本体技术来填充深层网页条目的新方法。首先,在模式匹配过程中,可以丰富构造核心本体,并丰富核心本体中概念的语义。其次,获取本地接口与集成接口之间的匹配关系,将用户提交的集成接口的查询条件分解为本地接口对应的查询条件,自动完成深层网页条目的填写。最后,自动触发按钮提交查询。实验结果表明该方法是可行和有效的。

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