Design And Implementation Of Sensor Data Service System Based On SSN Ontology

Along with continuous development of the sensor network, the sensors from all over the world are constantly producing abundant sensor data. However, the sensor data is hard to work together for lacking of semantic. With the appearance of semantic web, the sensor data from different sources can be integrated with the help of semantic web and transformed into the data which can be understood by computers. In this way, it is convenient for users to make full use of the sensor data and understand to find the internal relations of these sensor data at the same time.In order to solve these problems by using semantic web, this paper firstly puts forward a scheme to map the sensor data to SSN ontology through the custom method. Then we design a semantic query and visualization system for the sensor data from heterogeneous sources. The main work of this paper is as follows: firstly, we propose a mapping language called SASML to annotate the sensor data based on SSN ontology semantically. We also customize a mapping algorithm called SDRM to convert the sensor data from different sources to the information which can be understood by semantic web; secondly, a semantic query and visualization scheme for sensor data is designed. The qualified SPARQL query can be generated dynamically and automatically through the scheme according to the query conditions which are chosen by users. The users can design and edit the rules to implement reasoning based on logic rules; finally, the query results will be displayed in different ways such as Echarts diagrams and Baidu map intuitively and dynamically. It can allow users to acquire implicit knowledge of sensor network domain more rapidly and intuitively. In this paper, the sensor data service system is developed. The semantic query interface is implemented by using ExtJS technology and provided for users. The concepts of the SSN ontology are shown on the users’ interface through the Jena API. A rule-based semantic reasoning approach is implemented. At last, Echarts library and Baidu map API are used to realize the visualization of the semantic query results.