Managing Semantic Big Data for Intelligence

Anne-Claire Boury-Brisset
2013 Semantic Technologies for Intelligence, Defense, and Security  
All-source intelligence production involves the collection and analysis of intelligence data provided in various formats (raw data from sensors, imagery, text-based from human reports, etc.) and distributed across heterogeneous data stores. The advance in sensing technologies, the acquisition of new sensors, and use of mobile devices result in the production of an overwhelming amount of sensed data, that augment the challenges to transform these raw data into useful, actionable intelligence in
more » ... timely manner. Leveraging recent advances in data integration, Semantic Web and Big Data technologies, we are adapting key concepts of unified dataspaces and semantic enrichment for the design and implementation of a R&D intelligence data integration platform MIDIS (Multi-Intelligence Data Integration Services). The development of this scalable data integration platform rests on the layered dataspace approach, makes use of recent Big Data technologies and leverages ontological models, and semantic-based analysis services developed for various purposes as part of the semantic layer.
dblp:conf/stids/Boury-Brisset13 fatcat:j3f4ajty4bbfzozmuvphgwdiia