A Semantic Context Driven Approach for Georeferencing Techniques
Ron Lake, Galdos Systems Inc.
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| Geo-reference disambiguation is a major task in the field of image information mining and management. This is approached using Word Sense Disambiguation methods, statistical methods, and contextual pattern analysis. This approach can be used to standardize the onthologies and so be a building block for a geosemantic web. |
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Architectures for the GeoWeb
Ron Lake, Galdos Systems, Inc. |
| The broad automated sharing of geospatial information is moving towards a tipping point. At the present time, however, different architectures are being proposed as the "right" way forward including SOA, EDA, and REST. Will there be a winner or do they all fit specific niches in the overall GeoWeb infrastructure. This talk will explore these different approaches, their merits and disadvantages and offer the authors view of the world "on the other side of the chasm" |
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Automated GIS Data Synchronization and Validation using OGC Web Services and SDI
Hans Schoebach, Galdos Systems, Inc. |
| Maintaining, synchronizing and updating federated geospatial data sets can be a big challenge and if not synchronized properly can be costly and dangerous. This presentation will describe a spatial data infrastructure (SDI) solution middleware based on a publish/subscribe and SOA technology that is optimized for geo-spatial data sets using open standards and OGC web services for interoperability, data propagation and communication. It will be demonstrated how SDI middleware can facilitate the creation of dynamic geospatial communities. |
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GeoTemporal Reasoning in a Web 3.0 World
Jans Aasman, Franz Inc |
| Web 3.0 envisages software agents that know how to reason over activities, events, locations, people, companies, and their inter-relationships. Learning more about customers through behavioral and activity recognition is here today through currently available Semantic Technologies and is a showcase for how these technologies will evolve. Our presentation will demonstrate real world examples of activity recognition using a combination of industry standard RDF and OWL, reasoning with basic Geotemporal primitives and some well-known Social Network Analytics. |
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Innovative Raster Modeling Environment
Glenn Cockerton, Spatial Vision Consulting Ltd. |
| The "Platform for Environmental Modeling Support" (PEMS) is a demonstrator project being undertaken by Australian Government funded by Cooperative Research Centre for Spatial Information and supported by the Victorian State Departments of Sustainability and Environment, Justice, and Primary Industries; Geoscience Australia and geospatial technology integrator Spatial Vision. PEMS is based on rasterised data model and provides tools for efficient vector-raster conversion, simple and complex data querying, spatial and temporal modeling, data extraction and data storage. |
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Leveraging Semantic Web Technologies for Geo-Database Interoperability
Serge Boucher, Universite Libre de Bruxelles |
| Interoperating complex databases built on heterogeneous schemas designed for different problem domains might be the most challenging problem facing the GIS community today. GML has helped bridge the difference between file formats, but in and of itself it can’t deal with structural and semantic heterogeneities between geo-databases. This talk presents work done at Brussels Free University and IONIC software to solve this problem using both OpenGIS and Semantic Web technologies. |
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Modeling, Rendering and Parallel Architectures for 3D / 3D Geoweb
Jeremie Farret, Parallel Geometry Inc |
| GPU and multi-core architectures enables powering new generation 3-Dimensional visualization and simulation pipelines. Polygons soup based 3D environments are prohibitive in terms of memory footprint, computing precision, and prevent geometric or physics simulation requiring objects matter and structure. Polygonal 3D Geoweb is thus a surfacic, 3D / 2D description. Proposed massively parallel and fully 3D / 3D Geoweb approach manages objects matter, while enabling hyperlarge datasets memorization, and hypercomplex modeling. It addresses Geoweb challenges for physics and graphics simulation. |
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Putting Time into the GeoWeb: Data Persistence in a Web Services Environment
Steven Morris, North Carolina State University |
| Digital data is, by its nature, fragile. Geospatial data, with all of its complexities, is particularly difficult to maintain over time. In the GeoWeb environment data persistence is especially problematic, as there is no guarantee that an image or dataset viewed through a service today will be available in its same form tomorrow. This presentation will address challenges in supporting temporal analysis and in documenting the basis for decisions made using dynamic services |
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