首页> 外文会议>Conference on Geospatial Information Science; 20070525-27; Nanjing(CN) >Querying temporal variable transportation data stream based on extended XQuery engine
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Querying temporal variable transportation data stream based on extended XQuery engine

机译:基于扩展XQuery引擎的时变运输数据流查询

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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领域中最热门的问题之一。但是,大多数处理XML数据流的流行方法无法处理包含时空查询的连续查询。尽管在交通应用领域中大量使用路旁传感器,但作为数据流收集的交通数据信息却无处不在。专门为连续查询动态运输信息而部署处理器非常重要。在本文中,我们提出了一种处理XML / GML建模的动态交通信息的连续查询方法。它首先探讨了如何通过XML / GML文档描述动态交通信息的时空方面,然后提出了一种将时空功能整合到商业XQuery引擎中的简单方法。此外,我们将扩展的XQuery引擎与SAX处理器集成在一起,以处理XML数据流上的时空查询。最后还给出了如何在查询运输数据流中使用该方法。

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