Semantic Interoperability of Multi-Agent Systems in Autonomous Maritime Domains

被引:0
作者
Rosic, Marko [1 ]
Sumic, Dean [2 ]
Males, Lada [3 ]
机构
[1] Univ Split, Fac Sci, Split 21000, Croatia
[2] Univ Split, Fac Maritime Studies, Split 21000, Croatia
[3] Univ Split, Fac Humanities & Social Sci, Split 21000, Croatia
关键词
semantic interoperability; ontologies; multi-agent systems; autonomous ships; smart ports;
D O I
10.3390/electronics14132630
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The maritime domain is experiencing significant transformation, driven by the integration of autonomous technologies. Autonomous ships and smart maritime systems depend on the sophisticated interplay of artificial intelligence, sensor infrastructures, and communication protocols to achieve safe, reliable, and efficient operations. Central to this evolution is the imperative for seamless interoperability among agents operating within heterogeneous maritime environments. Semantic interoperability, which ensures that information is interpreted and exchanged consistently and meaningfully across systems, emerges as a critical enabler of coordinated multi-agent cooperation. This paper explores the role of semantic interoperability in the coordination of multi-agent systems, the challenges involved, and the technological frameworks that facilitate its implementation.
引用
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页数:18
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共 33 条
[1]   Maritime Autonomous Surface Ships: Architecture for Autonomous Navigation Systems [J].
Alamoush, Anas S. ;
Olcer, Aykut I. .
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2025, 13 (01)
[2]  
[Anonymous], 2021, Outcome Of The Regulatory Scoping Exercise For The Use Of Maritime Autonomous Surface Ships
[3]   Container Ports Post-Privatisation - Analysis of the roles of the public and private sectors at Port Botany, Sydney [J].
Black, John ;
Roso, Violeta .
CASE STUDIES ON TRANSPORT POLICY, 2022, 10 (02) :1438-1452
[4]  
Chae CJ, 2025, WMU J MARIT AFF, V24, P99, DOI 10.1007/s13437-024-00343-8
[5]   A reactive multi-agent approach for online (re)scheduling of resources in port container terminals [J].
Chargui, Kaoutar ;
El Fallahi, Abdellah ;
Reghioui, Mohamed ;
Zouadi, Tarik .
IFAC PAPERSONLINE, 2019, 52 (13) :124-129
[6]   A Novel Ship Collision Avoidance Awareness Approach for Cooperating Ships Using Multi-Agent Deep Reinforcement Learning [J].
Chen, Chen ;
Ma, Feng ;
Xu, Xiaobin ;
Chen, Yuwang ;
Wang, Jin .
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2021, 9 (10)
[7]   Unravelling cross-country regulatory intricacies of data governance: the relevance of legal insights for digitalization and international business [J].
Coche, Eugenie ;
Kolk, Ans ;
Ocelik, Vaclav .
JOURNAL OF INTERNATIONAL BUSINESS POLICY, 2024, 7 (01) :112-127
[8]   Cooperative Multi-Agent Control for Autonomous Ship Towing Under Environmental Disturbances [J].
Du, Zhe ;
Negenborn, Rudy R. ;
Reppa, Vasso .
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 8 (08) :1365-1379
[9]   Cybersecurity in Autonomous Vehicles-Are We Ready for the Challenge? [J].
Durlik, Irmina ;
Miller, Tymoteusz ;
Kostecka, Ewelina ;
Zwierzewicz, Zenon ;
Lobodzinska, Adrianna .
ELECTRONICS, 2024, 13 (13)
[10]   The Ocean-Going Autonomous Ship-Challenges and Threats [J].
Felski, Andrzej ;
Zwolak, Karolina .
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2020, 8 (01)