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Querying fuzzy spatiotemporal data using XQuery

机译:使用XQuery查询模糊时空数据

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摘要

How to accurately handle querying criteria based on user's preferences has become a key technology for querying fuzzy spatiotemporal data, typically collected by modern monitoring devices such as GPS receivers and sensors. However, although fuzzy logic is incorporated in querying fuzzy spatiotemporal data and querying fuzzy data in XML, relatively little work has been carried out in querying fuzzy spatiotemporal data in XML. In this paper, we propose an approach for querying fuzzy spatiotemporal data using XQuery. On the basis of its architecture, we make extensions to XQuery language. The extensions consist of the new xs: truth data type intended to represent gradual truth degrees, and the new Val element and the new Poss attribute to handle satisfaction degrees. Furthermore, fuzzy spatiotemporal linguistic terms are extended to declare fuzzy terms and use them in querying expressions. Additionally, FLWOR are extended to support fuzzy spatiotemporal queries. After extensions of XQuery on fuzzy spatiotemporal data, we present real case querying examples, discuss crucial details of their processing, and perform evaluations of each querying example. Finally, the comparative study demonstrates the advantages of our approach.
机译:如何根据用户的喜好准确地处理查询标准已成为查询模糊时空数据的关键技术,该数据通常由现代监测设备(如GPS接收器和传感器)收集。但是,尽管在查询模糊时空数据和查询XML中的模糊数据时加入了模糊逻辑,但是在查询XML中的时空数据方面却进行了相对较少的工作。在本文中,我们提出了一种使用XQuery查询模糊时空数据的方法。基于其体系结构,我们对XQuery语言进行了扩展。扩展包括新的xs:用于表示渐进式真度的真理数据类型,以及用于处理满意度的新Val元素和新Poss属性。此外,模糊时空语言术语被扩展为声明模糊术语并在查询表达式中使用它们。此外,FLWOR已扩展为支持模糊时空查询。在对模糊时空数据进行XQuery扩展之后,我们将提供实际案例查询示例,讨论其处理的关键细节,并对每个查询示例进行评估。最后,比较研究证明了我们方法的优势。

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