Semantic model of ship behaviour based on ontology engineering
Yimeng Zhang, Yuanqiao Wen, Fan Zhang, Chunhui Zhou, Lei Du, Liang Huang, Changshi Xiao · The Journal of Engineering · 2018
Given the complex situation of traffic at sea and the large amount of data that grows with the information technology, the ship behaviour cannot be precise recognised or fully expressed based on the raw and noisy data itself. A semantic model of ship behaviour based on ontology engineering is developed in this study. First, an interrelated semantic network is created, which allows the easy annotation, expression, and acquisition of information about ship trajectory. Then, the time‐series compression techniques are used to recognise behaviour and event in the semantic model, which, respectively, indicate the states of track points and trajectory segments, and which also can be represented as a time series. Finally, the accuracy and practicality of the model is verified by automated identification system data and geographic data; the result shows that the semantic model solves the conflict between expressiveness of ship behaviour and complexity of the situation, and reduces the amount of data by building semantic representation in higher abstraction levels.