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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. The common manners to access these data are limited by the complexity and the need to collect the data in a center location. Moreover, a variety of softwares adopts their own data formats which may not be understood by other systems, which makes the data sharing difficult. Therefore, an approach to multi source spatial data is needed. This paper presents a multi source spatial data sharing system based on the middleware technology and the OGC specifications. In this system, data applications interact with a middleware component to derive data in the standard formats. The middleware component deal with distributed and heterogeneous data and it can be used by all the applications. The system architecture, working principles, and detailed function of each component are introduced. Based on the research of this paper, an integrated multi source spatial data sharing platform can be developed with the middleware approach to the multi source spatial data.
机译:随着数据收集技术的进步,可用的多源空间数据正在迅速增长。访问这些数据的通用方式受到复杂性和在中心位置收集数据的需求的限制。而且,各种软件采用它们自己的数据格式,这是其他系统可能无法理解的,这使得数据共享变得困难。因此,需要一种用于多源空间数据的方法。本文提出了一种基于中间件技术和OGC规范的多源空间数据共享系统。在该系统中,数据应用程序与中间件组件进行交互以派生标准格式的数据。中间件组件处理分布式和异构数据,并且所有应用程序都可以使用它。介绍了每个组件的系统架构,工作原理和详细功能。在本文研究的基础上,可以采用中间件方法开发集成的多源空间数据共享平台。

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