Complex Sensor Mashups for Linking Sensors and Formula-Based Knowledge Bases

Won Woo Ro, Giyong Park, Sejin Chun, Kyong-Ho Lee

Abstract: Devices, objects, and sensors are getting to connect with one another in the Internet of Things (IoT). Although there are existing models for representing sensors, there is lack of methods of integrating sensor data with domain knowledge to construct complex sensors. Semantic models for complex sensor mashups are required. In this paper, we present a complex sensor model that enables us to combine various existing sensors and formula-based knowledge. We also propose a method of composing a virtual complex sensor based on the influence of its constituent sensors. Last of all, we develop a complex sensor mashup tool based on the proposed complex sensor model and mashup method.