Enhanced maritime situational awareness is a common need for maritime authorities interested in security, safety, border control, and marine environment protection. To have enhanced maritime situation awareness, it is recognized that there is a need for advanced and innovative surveillance and information-sharing technologies. This study presents an open and interoperable maritime surveillance framework that utilizes ontology-based operations and domain rules to integrate data from a combination of systems and sensors, and performs behavior analysis of detected targets of any size. In this system, seamless information exchange among systems and sensors leads to better and more cost-effective maritime surveillance. Behavioral analysis enables intelligent decision making and reduces time-to-act. Within the scope of this study, a Maritime Situational Awareness Ontology is created as a common model to mediate different information sources, and a rule repository is formed for storing suspicious vessel criteria. The presented work is undertaken within the scope of the RECONSURVE (Reconfigurable Surveillance System with Communicating Smart Sensors) project, which is supported by the EUREKA ITEA2 cluster.


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