Semantic Modeling of Ship Behavior in Cognitive Space

Ship behavior is the semantic expression of corresponding trajectory in spatial-temporal space. The intelligent identification ship critical for safety supervision waterborne transport. In particular, complicated reflects long-term intentions a ship, but it challenging to recognize automatically computers without proper understanding. For this purpose, study provides method model from perspective knowledge modeling that explainable. Based on our previous work, representation given considering multi-scale features cognitive Firstly, are analyzed dimension and individually. Then, behaviors semantics determined, which divides scale into four sub-scales space, spatial temporal dimensions: action, activity, process, event. Furthermore, an ontology introduced construct behavior, where with different scales expressed using functions microscopic macroscopic consecutively. To validate model, case conducted occurred port water areas. Typical behaviors, include leveraging axioms web rule language (SWRL) ontology, then deduced reasoner, such as Pellet. results show reasonable feasible represent various scenarios potential smart network maritime authorities.