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STUDY OF DIFFERENT APPROACHES TO THE INTEGRATION OF SPATIAL XML WEB RESOURCES

机译:空间XML Web资源集成的不同方法研究

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The research community has begun to investigate foundations for the next stage of the Web, called Semantic Web. Current efforts include the Extensible Markup Language XML, the Resource description Framework, Topic Maps and the DARPA Agent Markup Language DAML+OIL. A rich domain that requires special attention is the Geospatial Semantic Web. However, in order to approach the Geospatial Semantic Web, it is necessary to solve the problem of developing an integration system for querying spatial resources stored in different sources. In this paper, we study two different approaches to integrating spatial and non-spatial information represented in the Geographical Markup Language (GML). The approaches studied follow LAV (Local as View) integration. With this study we obtain the best approach to developing a real system for querying GML resources stored in different sources.
机译:研究界已经开始调查Web的下一阶段的基础,称为语义网络。目前的努力包括可扩展的标记语言XML,资源描述框架,主题映射和DARPA代理标记语言DEAML + OIL。一种需要特别关注的丰富域名是地理空间语义网络。然而,为了接近地理空间语义网络,有必要解决开发用于查询存储在不同源中的空间资源的集成系统的问题。在本文中,我们研究了两种不同的方法来集成在地理标记语言(GML)中表示的空间和非空间信息。研究遵循LAV(视图)集成的方法。通过这项研究,我们获得了开发用于查询存储在不同源中的GML资源的真实系统的最佳方法。

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