Semantic Sensor Data Integration Based on Cloud Computing

Nowadays, Sensor data are playing more and more important role in our daily life and the scientific research. How to integrate and make full use of the sensor data to provide more useful and efficient services is a hot spot issue being concerned recently. This paper proposes an solution, based on the concepts of Semantic Web and Cloud Computing. The solution integrates sensor data in a semantic way using OWL ontology and logic rules, while it stores and accesses sensor data in the cloud environment to provide services supporting data-intensive application such as decision making. We present an architecture for the solution and discuss the key issues in the architecture. Furthermore, we discuss an application in tourism domain, and describe the steps to implement the scenic spot monitoring system based on the proposed solution.