Ontological Ship Behavior Modeling Based on COLREGs for Knowledge Reasoning

17Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.

Abstract

Formal expression of ship behavior is the basis for developing autonomous navigation systems, which supports the scene recognition, the intention inference, and the rule-compliant actions of the systems. The Convention on the International Regulations for Preventing Collisions at Sea (COLREGs) offers experience-based expressions of ship behavior for human beings, helping the humans recognize the scene, infer the intention, and choose rule-compliant actions. However, it is still a challenge to teach a machine to interpret the COLREGs. This paper proposed an ontological ship behavior model based on the COLREGs using knowledge graph techniques, which aims at helping the machine interpret the COLREGs rules. In this paper, the ship is seen as a temporalspatial object and its behavior is described as the change of object elements in time spatial scales by using Resource Description Framework (RDF), function mapping, and set expression methods. To demonstrate the proposed method, the Narrow Channel article (Rule 9) from COLREGs is introduced, and the ship objects and the ship behavior expression based on Rule 9 are shown. In brief, this paper lays a theoretical foundation for further constructing the ship behavior knowledge graph from COLREGs, which is helpful for the complete machine reasoning of ship behavior knowledge in the future.

References Powered by Scopus

Vessel pattern knowledge discovery from AIS data: A framework for anomaly detection and route prediction

582Citations
N/AReaders
Get full text

Maritime traffic monitoring based on vessel detection, tracking, state estimation, and trajectory prediction

299Citations
N/AReaders
Get full text

Semantic trajectories: Mobility data computation and annotation

204Citations
N/AReaders
Get full text

Cited by Powered by Scopus

A Formal and Visual Data-Mining Model for Complex Ship Behaviors and Patterns

9Citations
N/AReaders
Get full text

Artificial Intelligence Methods in Safe Ship Control Based on Marine Environment Remote Sensing

7Citations
N/AReaders
Get full text

Research on Intelligent Detection Algorithm of the Single Anchored Mooring Area for Maritime Autonomous Surface Ships

6Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Zhong, S., Wen, Y., Huang, Y., Cheng, X., & Huang, L. (2022). Ontological Ship Behavior Modeling Based on COLREGs for Knowledge Reasoning. Journal of Marine Science and Engineering, 10(2). https://doi.org/10.3390/jmse10020203

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 5

56%

Lecturer / Post doc 2

22%

Researcher 2

22%

Readers' Discipline

Tooltip

Engineering 7

88%

Computer Science 1

13%

Article Metrics

Tooltip
Mentions
Blog Mentions: 1
Social Media
Shares, Likes & Comments: 1

Save time finding and organizing research with Mendeley

Sign up for free