Unifying Stream Data and Linked Open Data

Technical Report
With the increasing popularity of sensor networks there has been a lot of effort in lifting the contents of such networks to a semantic level. This opens doors to the integration of sensor data with the more established semantic data sets, such as the Linked Open Data initiative, facilitating a wide range of new applications. However, the distributed, heterogeneous, real-time, and large scale nature of the data collections poses a big challenge. This project aims to build a platform for integrating sensor data with web data using linked data model. We first address the challenge of heterogenous data integration of dynamic data sources. Then we focus on how build efficient query processor over linked sensor stream data. Scalability is also an issue to be considered. This report describes the current status report of the work and the next steps of the project.
Research Unit: 
Sensor Middleware Unit