GEISER
http://aksw.org/Projects/GEISER an entity of type: Project
| GEISER develops an open cloud-based platform for integrating geospatial data with sensor data from cyberphysical systems based on semantic and Big Data technologies. xsd:string |
| metaphacts GmbH (DE); TomTom Development Germany GmbH (D); YellowMap (D); Fraunhofer IAIS; USU Software AG | |
| BDE; GeoKnow | |
TasksLeipzig University will develop processes for data acquisition, integration and fusion. For data acquisition, we will develop a unified, intelligent and extensible framework for representing data from diverse heterogeneous sources (automotive sensors, Twitter, OpenStreetMap, DBpedia, etc.) in RDF format. The acquired data has to be integrated to be useful for higher-value services. In order to process the high volume of complex geospatial data, we will develop scalable algorithms for efficiently detecting geospatial relations using machine learning techniques. Finally, we will survey if supervised machine learning can reduce the effort required for setting up data fusion pipelines. This will enable an efficient provisioning of fused data to geospatial services. sysont:Markdown ;
sysont:Markdown |
|
| Dr. Axel-C. Ngonga Ngomo | |
| <http://www.projekt-geiser.de> |