Semantic Modeling of Ship Behavior in Cognitive Space
Ship behavior is the semantic expression of corresponding trajectory in spatial-temporal space. The intelligent identification of ship behavior is critical for safety supervision in the waterborne transport. In particular, the complicated behavior reflects the long-term intentions of a ship, but it...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/10/10/1347 |
| _version_ | 1797472444391358464 |
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| author | Rongxin Song Yuanqiao Wen Wei Tao Qi Zhang Eleonora Papadimitriou Pieter van Gelder |
| author_facet | Rongxin Song Yuanqiao Wen Wei Tao Qi Zhang Eleonora Papadimitriou Pieter van Gelder |
| author_sort | Rongxin Song |
| collection | DOAJ |
| description | Ship behavior is the semantic expression of corresponding trajectory in spatial-temporal space. The intelligent identification of ship behavior is critical for safety supervision in the waterborne transport. In particular, the complicated behavior reflects the long-term intentions of a ship, but it is challenging to recognize it automatically for computers without a proper understanding. For this purpose, this study provides a method to model the behavior for computers from the perspective of knowledge modeling that is explainable. Based on our previous work, a semantic model for ship behavior representation is given considering the multi-scale features of ship behavior in cognitive space. Firstly, the multi-scale features of ship behavior are analyzed in spatial-temporal dimension and semantic dimension individually. Then, a method for multi-scale behaviors modeling from the perspective of semantics is determined, which divides the behavior scale into four sub-scales in cognitive space, considering spatial and temporal dimensions: action, activity, process, and event. Furthermore, an ontology model is introduced to construct the multi-scale semantic model for ship behavior, where behaviors with different semantic scales are expressed using the functions of ontology from a microscopic perspective to a macroscopic perspective consecutively. To validate the model, a case study is conducted in which ship behavior with different scales occurred in port water areas. Typical behaviors, which include leveraging the axioms expression and semantic web rule language (SWRL) of the ontology, are then deduced using a reasoner, such as Pellet. The results show that the model is reasonable and feasible to represent multi-scale ship behavior in various scenarios and provides the potential to construct a smart supervision network for maritime authorities. |
| first_indexed | 2024-03-09T20:01:50Z |
| format | Article |
| id | doaj.art-53cfd83b387e46ff87d2ebd0f6429852 |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-09T20:01:50Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-53cfd83b387e46ff87d2ebd0f64298522023-11-24T00:42:52ZengMDPI AGJournal of Marine Science and Engineering2077-13122022-09-011010134710.3390/jmse10101347Semantic Modeling of Ship Behavior in Cognitive SpaceRongxin Song0Yuanqiao Wen1Wei Tao2Qi Zhang3Eleonora Papadimitriou4Pieter van Gelder5Safety and Security Science Group, Faculty of Technology, Policy and Management, Delft University of Technology, 2628 BX Delft, The NetherlandsNational Engineering Research Center for Water Transport Safety, Wuhan University of Technology, Wuhan 430070, ChinaIntelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan 430062, ChinaDepartment of Civil and Architectural Engineering, KTH Royal Institute of Technology, 10044 Stockholm, SwedenSafety and Security Science Group, Faculty of Technology, Policy and Management, Delft University of Technology, 2628 BX Delft, The NetherlandsSafety and Security Science Group, Faculty of Technology, Policy and Management, Delft University of Technology, 2628 BX Delft, The NetherlandsShip behavior is the semantic expression of corresponding trajectory in spatial-temporal space. The intelligent identification of ship behavior is critical for safety supervision in the waterborne transport. In particular, the complicated behavior reflects the long-term intentions of a ship, but it is challenging to recognize it automatically for computers without a proper understanding. For this purpose, this study provides a method to model the behavior for computers from the perspective of knowledge modeling that is explainable. Based on our previous work, a semantic model for ship behavior representation is given considering the multi-scale features of ship behavior in cognitive space. Firstly, the multi-scale features of ship behavior are analyzed in spatial-temporal dimension and semantic dimension individually. Then, a method for multi-scale behaviors modeling from the perspective of semantics is determined, which divides the behavior scale into four sub-scales in cognitive space, considering spatial and temporal dimensions: action, activity, process, and event. Furthermore, an ontology model is introduced to construct the multi-scale semantic model for ship behavior, where behaviors with different semantic scales are expressed using the functions of ontology from a microscopic perspective to a macroscopic perspective consecutively. To validate the model, a case study is conducted in which ship behavior with different scales occurred in port water areas. Typical behaviors, which include leveraging the axioms expression and semantic web rule language (SWRL) of the ontology, are then deduced using a reasoner, such as Pellet. The results show that the model is reasonable and feasible to represent multi-scale ship behavior in various scenarios and provides the potential to construct a smart supervision network for maritime authorities.https://www.mdpi.com/2077-1312/10/10/1347semantic modelingship behaviorcognitive spacemulti-scale analysisontology |
| spellingShingle | Rongxin Song Yuanqiao Wen Wei Tao Qi Zhang Eleonora Papadimitriou Pieter van Gelder Semantic Modeling of Ship Behavior in Cognitive Space Journal of Marine Science and Engineering semantic modeling ship behavior cognitive space multi-scale analysis ontology |
| title | Semantic Modeling of Ship Behavior in Cognitive Space |
| title_full | Semantic Modeling of Ship Behavior in Cognitive Space |
| title_fullStr | Semantic Modeling of Ship Behavior in Cognitive Space |
| title_full_unstemmed | Semantic Modeling of Ship Behavior in Cognitive Space |
| title_short | Semantic Modeling of Ship Behavior in Cognitive Space |
| title_sort | semantic modeling of ship behavior in cognitive space |
| topic | semantic modeling ship behavior cognitive space multi-scale analysis ontology |
| url | https://www.mdpi.com/2077-1312/10/10/1347 |
| work_keys_str_mv | AT rongxinsong semanticmodelingofshipbehaviorincognitivespace AT yuanqiaowen semanticmodelingofshipbehaviorincognitivespace AT weitao semanticmodelingofshipbehaviorincognitivespace AT qizhang semanticmodelingofshipbehaviorincognitivespace AT eleonorapapadimitriou semanticmodelingofshipbehaviorincognitivespace AT pietervangelder semanticmodelingofshipbehaviorincognitivespace |