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机构地区:[1]江苏大学计算机科学与通信工程学院,镇江212013
出 处:《无线通信技术》2015年第1期48-52,57,共6页Wireless Communication Technology
摘 要:在深网的演化过程中,Deep Web数据源的内容、模式在不断变化,影响到Deep Web集成系统的查询能力。为此,本文分析了在深网演进环境下已有集成系统中存在的问题,并设计出了一个基于动态数据源的Deep Web信息集成系统。首先通过本地接口版本演化的方式,来同步本地接口与网络接口的信息,保证本地成员接口的有效性。然后根据本地动态接口数据源的特点,采用属性相似度聚类方法实现全局接口模式集成,并形成全局接口和本地接口之间的临时映射关系,并用相似度值来标记映射关系权重。最后,采用基于动态权重映射,实现全局查询到本地查询的转换。实验结果表明,该系统使得Deep Web查询能力在查准率和查全率方面都有较好的表现,是可行的和有效的。In the process of evolution of the deep web, mode Deep Web the contents of the data source, in constant change, affect the Deep Web integrated system query ability. Therefore, this pa- per analyzes the existing already in deep network evolution environment problems in the integrated system, and designs a Deep based Web information integration system of dynamic data sources. First of all, through the local interface version evolution manner, to synchronize the local interface and network interface information, guarantee the effectiveness of local member interface. Then according to the characteristics of the local dynamic interface of data source, using attribute similarity cluste- ring method to achieve the global integration interface mode, and the formation of temporary mapping between the global and the local interface relationship, and to mark the mapping relationship be- tween the weight by using the similarity values. Finally, by using the dynamic weight based map- ping, realizing the transformation of global query into local query. The experimental results show that, the system makes the Deep Web query ability has a better performance in precision and recall, is feasible and effective.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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