Intelligent Information Management of Tourist Attractions Based on Semantic Sensor Web

With the development of newly emerging technologies such as sensor network, Internet of Things and Semantic Web, our lifestyles are changing gradually. Sensors deployed in tourist attractions can collect lots of information which can be used to support decision making for tourist attraction managers. However, different sensors have different data format, so it is not easy to let these sensor data work together. Moreover, there is also implicit knowledge hidden in sensor data collected from tourist attractions. This paper proposes an approach for tourist attractions information management based on semantic sensor web. A semantic model for scenery sensor data is designed as an OWL ontology, and based on the semantic model an architecture for intelligent information management of tourist attractions is illustrated. As a case study, an experimental prototype demonstrates the effectiveness of the proposed approach.