Tutorials

Tutorial 1: Building Intelligent Mashups
Tutorial 2: Web Service Crawling And Annotation
Tutorial 3: Agent-Based Simulation of Future Internet Scenarios
Tutorial 4: Delay-/Disruption-Tolerant Networks Facts, Challenges and Open Issues
Tutorial 5: CANCELLED
Tutorial 6: Quantum Key Distribution Networks (The SECOQC 2008 Prototype)

Tutorial 5: Next-Generation Geo Services for Massive Sensor & Image Data: Standards, Techniques, Issues (CANCELLED)

Peter Baumann | Jacobs University Bremen, DE

Latest since the launch of Google Earth it is clear that online services for multi-Terabyte satellite imagery are becoming an integral part of our Internet experience. Actually, 2-D imagery is but the tip of the iceberg - the general concept of multi-dimensional spatio-temporal raster data covers 1-D sensor time series, 2-D imagery, 3-D CAT scans (x/y/t) and exploration data (x/y/z), 4-D climate, ocean, and cosmological simulation results as well as life science microarray data (x/y/z/t), and many more. The common data abstraction behind all these is that of a multi- dimensional array of some extent and cell ("pixel", "voxel") type. Sizes range well into multi- Terabyte object sizes, in future: multi-Petabyte. Today's inexpensive high-capacity storage media indeed allow to give online access to such data. We face the appearance of navigational interfaces; the next step will consist of advancing from data stewardship to service stewardship based on open, flexible access interfaces for value-adding processing, analysis, and mining. Examples are manifold: Sensor and streaming databases will allow ad-hoc summarization as well as standing queries for alerting. Hyperspectral satellite iamgery will not just be served as is,but derived products like vegetation index or snow index will be computed on the fly and without redundant storage. Human brain imaging will benefit from analysing thousands of brain activity maps simultaneously. Multi-Petabyte datacubes can be leveraged for online analysis. This poses new challenges on data management and, in particular, the design of open, interoperable services.
In this tutorial we present the state of the art in semantic Web services for large-scale, multi- dimensional raster data. The tutorial will give an introduction to raster services, addressing modeling, architecture, optimization, andstorage management. High emphasis will be devoted to applications in earth and life sciences. To this end, real-life use cases will be presented and discussed which stem from both projects carried out and our standardization work in the Open GeoSpatial Consortium (OGC, www.opengeospatial.org).