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Modeling of Content-aware Based on Multi-sources Heterogeneous Data Sensed in the Internet of Things

机译:基于多源的内容感知内容感知的建模异构数据在物联网中感测

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In wireless sensor networks, raw data is just collected and stored as binary value in the relation databases. In the Internet of Things (IoT), it requires machine to understand these multi-sources heterogeneous data's meanings in specific environment and the interoperable service to share these with other different machines. In order to address these issues, construction of content-aware model based on multi-sources heterogeneous data is necessary to be proposed in the paper, we discussed the IoT theory, new features and problems of the IoT data and based on semantic technology, we put forward the method of content-aware construction based on multi-sources heterogeneous data sensed in the IoT and explained in detail all parts of it. Finally, an experimental simulation platform was given to demonstrate the feasibility and validity of this method.
机译:在无线传感器网络中,刚刚收集原始数据并将其存储为关系数据库中的二进制值。在某网内(IOT)中,它需要机器在特定环境中了解这些多源异构数据的含义和可互操作的服务,以与其他不同的机器共享这些服务。为了解决这些问题,需要在纸质中提出基于多源异构数据的内容感知模型的构建,我们讨论了物联网理论,基于语义技术的IOT理论,新功能和问题,我们提出了基于IOT中感测的多源异构数据的内容感知结构的方法,并详细解释了它的所有部分。最后,给出了实验模拟平台来证明这种方法的可行性和有效性。

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