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Querying temporal variable transportation data stream based on extended XQuery engine

机译:基于扩展XQuery引擎查询时间可变运输数据流

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Query processing of XML data stream is one of the hottest issues in database research area However, most of the popular methods on processing the XML data stream can not handle the continuous query which contains spatial-temporal queries. While the tremendous increase in the use of road-side sensors in transportation application area, the transportation data information gathered as data stream are pervasive. Deploy a processor specifically for continuous query on dynamic transportation information is important In this paper, we present a continuous query method on processing dynamic transportation information modeled by XML/GML. It first explores how the spatial-temporal aspect of dynamic transportation information can be described by XML/GML document, and then proposes a simple method on incorporating the spatial-temporal functions into the commercial XQuery engine. Furthermore, we integrate the extended XQuery engine with the SAX processor to handle the spatial-temporal queries on XML data stream. How the method can be used in querying the transportation data stream is also given at the end.
机译:XML数据流的查询处理是数据库研究区域中最热门的问题之一,但大多数在处理XML数据流上的流行方法无法处理包含空间查询的连续查询。虽然在运输应用领域使用道路侧传感器的巨大增加,但收集为数据流的运输数据信息是普遍存在的。专门针对动态传输信息的连续查询部署处理器在本文中很重要,我们在处理由XML / GML建模的处理动态运输信息时呈现连续查询方法。首先探讨XML / GML文档可以描述动态传输信息的空间时间方面如何描述,然后提出将空间函数结合到商业XQuery引擎中的简单方法。此外,我们将扩展的XQuery引擎与SAX处理器集成,以处理XML数据流上的空间时间查询。结束还给出了如何在查询运输数据流时使用该方法。

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