The emergence of novel sensing devices and sensor network technologies provides a whole new opportunity for global environmental studies and environment-related decision making. The Swiss Experiment is a newly initiated multidisciplinary project aimed at building a large scale platform, to support field investigations of environmental processes, which is based on new sensor and data management technology. In this talk we will first give an overview of the environmental problems being addressed in the Swiss Experiment and identify opportunities of supporting environmental scientists by recent advances in communications and information systems. We will discuss in particular our approach to support data and information management throughout experimental campaigns. This includes support for distributed data stream management based on Global Sensor Networks, for data warehousing and analysis, for map-based visualizations developed in collaboration with Microsoft's SensorMap team and for information sharing using a WIKI-based and semantics-enabled platform. We will demonstrate our initial results and identify some future challenges towards developing a truly comprehensive information management support for environmental sciences.
[1]
Karl Aberer,et al.
A middleware for fast and flexible sensor network deployment
,
2006,
VLDB.
[2]
Ji Wu,et al.
Towards integrated and efficient scientific sensor data processing: a database approach
,
2009,
EDBT '09.
[3]
Karl Aberer,et al.
Infrastructure for Data Processing in Large-Scale Interconnected Sensor Networks
,
2007,
2007 International Conference on Mobile Data Management.
[4]
Karl Aberer,et al.
Rethinking the design of distributed stream processing systems
,
2008,
2008 IEEE 24th International Conference on Data Engineering Workshop.
[5]
Karl Aberer,et al.
Efficient Probabilistic Subsumption Checking for Content-Based Publish/Subscribe Systems
,
2006,
Middleware.