A data association framework for general information fusion
This work is part of the EU FP-7 project Support and describes a system-architecture to enhance port security by processing sensor data. The goal is to process vast amount of sensor readings of all types, reduce the noise in the data stream, cope with heterogeneities, detect patterns, fuse data streams and provide decision support in near real-time. We define an ontology to model the domain of sensors and events in the context of port security. The ontology is used as a common basis for our envisioned architecture. The architecture incorporates Spark wave, a schema-enhanced pattern matcher, and Impactorium, a decision support system. Finally we present an evaluation approach for our use case and conclude with on-going future work.