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A Middleware-based Approach to Multi-source Spatial Data

机译:基于中间件的多源空间数据方法

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With the progress of the data collection technology,available multi source spatial data is growing rapidly. Thecommon manners to access these data are limited by thecomplexity and the need to collect the data in a center location.Moreover, a variety of softwares adopts their own data formatswhich may not be understood by other systems, which makes thedata sharing difficult. Therefore, an approach to multi sourcespatial data is needed. This paper presents a multi source spatialdata sharing system based on the middleware technology and theOGC specifications. In this system, data applications interactwith a middleware component to derive data in the standardformats. The middleware component deal with distributed andheterogeneous data and it can be used by all the applications. Thesystem architecture, working principles, and detailed function ofeach component are introduced. Based on the research of thispaper, an integrated multi source spatial data sharing platformcan be developed with the middleware approach to the multisource spatial data.
机译:随着数据收集技术的进展,可用的多源空间数据正在快速增长。要访问这些数据的信息是受限的限制,并且需要在中心位置收集数据.ORESOOVER,各种软件采用他们自己的数据格式,可能不会被其他系统理解,这使得Thedata共享困难。因此,需要一种多源数据数据的方法。本文介绍了基于中间件技术和TheOGC规范的多源SpatialData共享系统。在该系统中,数据应用程序与中间件组件交互以导出标准格式的数据。中间件组件处理分布式的AnketerCeneOce数据,并且可以由所有应用程序使用。介绍了组成部分的系统架构,工作原理和详细功能。基于此纸纸的研究,使用中间件方法开发集成的多源空间数据共享平台,并使用Multisource空间数据的方法。

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