A Monitoring System for the Safety of Building Structure Based on Semantic Technology

The development of the internet of things provides the basis for monitoring systems used in the building structure monitoring area, and this makes it possible to collect data for the safety of different kinds of building structure. A series of intelligent services can be provided according to these data. This paper proposes a monitoring system for the safety of building structure based on semantic technology. In this system, various sensors which are connected via cable or wireless way, are used to monitor the different parameters of building structure. The semantic data can be obtained and represented in RDF to describe the sensor data, and can provide the application background for users. LarKC, a platform for scalable semantic data processing, is used for semantic querying over the data. Based on this uniform representation of data and semantic processing, intelligent services can be provided by the effective data analysis. This provides the possibility to integrate all of the monitoring systems for the safety of building structure in urban computing.