Modeling of Content-Aware Based on Multi-Sources Heterogeneous Data Sensed in the Internet of Things
Bin Yu, Liang Qing Hu · Applied Mechanics and Materials · 2014
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.