Open AccessSemantic model of ship behaviour based on ontology engineering
Author(s) -
Zhang Yimeng,
Wen Yuanqiao,
Zhang Fan,
Zhou Chunhui,
Du Lei,
Huang Liang,
Xiao Changshi
Publication year - 2018
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.8329
Subject(s) - computer science , semantic data model , ontology , trajectory , abstraction , representation (politics) , raw data , identification (biology) , data mining , annotation , data model (gis) , information retrieval , artificial intelligence , philosophy , epistemology , physics , botany , astronomy , politics , biology , political science , law , programming language
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.