Wireless sensor networks consist of a large number of sensor nodes spread in an environment. If the target-related data is collected semantically in the sensor network, it would be possible to be processed and reasoned intelligently. On the other hand, one of the most important challenges to do with all cases related to sensor networks is the limitation of energy consumption. Data aggregation technique is a way to reduce the energy consumed in wireless sensor networks. Although the techniques based on data aggregation extends the network lifetime through reducing the number of sent packets, they can decrease the accuracy and reliability of the received data. In this paper, Firstly, one strategy for semantic data collection and aggregation of information related to the targets located in sensor network environment are presented. Secondly, through semantic modelling of trust, a method is presented in aggregation technique in order to identify highly trusted sensors and increase their use in collection and aggregation of data about the sensed targets. Therefore, the system accuracy and trust would be generally improved. Modelling and simulation results show the desirable performance of the presented method compared to the previous works. Manuscript profile