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Applying an innovative semantic sensor network model in Internet of Things

机译:在物联网上应用创新的语义传感器网络模型

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It will not take a longtime that the human will apply the networks of sensors in controlling the environment and predict natural disasters. This vast function would create bulks of sensor data to be applied World Wide Web. These bulks of data should be handled and processed a primary manner, which is a difficult task; therefore only the expert in this field can process them. One solution to overcome this drawback is the application of Open Geospatial Consortium (OGC) standard which to the sensor networks would develop the concept of sensor web; hence access to the sensor observations through the web. Data semantic is prerequisite of this process. To overcome this drawback the combination of sensor web and semantic web technology that constitutes the new concept named semantic sensor web should be adopted. The objective of this article is to develop a semantic sensor web model and the challenges involved. Within it is found here that adopting this model is applicable in all sensors in a more rapid manner.
机译:人类将不需要长期,即人们将传感器网络应用于控制环境并预测自然灾害。这种庞大的功能将创建要应用万维网的传感器数据的大小。应处理并处理主要方式的这些数据,这是一项艰巨的任务;因此,只有该字段中的专家可以处理它们。克服该缺点的一个解决方案是应用开放地理空间联盟(OGC)标准,传感器网络将开发传感器网的概念;因此,通过网络访问传感器观察。数据语义是此过程的先决条件。为了克服这幅度,应采用传感器网和语义Web技术的组合,构成名为语义传感器Web的新概念。本文的目的是开发语义传感器网络模型和所涉及的挑战。在这里,这里发现采用这种型号以更快的方式适用于所有传感器。

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