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Applying an innovative semantic sensor network model in Internet of Things

机译:在物联网中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:人类很快就会将传感器网络应用于控制环境和预测自然灾害。这个巨大的功能将创建大量传感器数据,以应用于万维网。这些大量的数据应该以一种主要的方式进行处理,这是一项艰巨的任务。因此,只有该领域的专家才能处理它们。克服这一缺点的一种解决方案是将开放地理空间联盟(OGC)标准应用到传感器网络中,从而开发出传感器网络的概念。因此,可以通过网络访问传感器的观测结果。数据语义是此过程的前提。为了克服这个缺点,应该采用传感器网络和语义网络技术的组合,该技术构成了名为语义传感器网络的新概念。本文的目的是开发语义传感器Web模型以及所涉及的挑战。在此发现采用这种模型可以更快地应用于所有传感器。

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