An Approach for Constructing Multi-Modal Spatio-Temporal Ontology of Ship Communication.

Ship communication situational analysis is an important component of current maritime traffic management. However, it faces some challenges and difficulties. Firstly, the heterogeneity and diversity of ship communication data make data integration and analysis difficult. Secondly, traditional data analysis methods often ignore the spatio-temporal relationships and contextual information between data, resulting in inaccurate and incomplete analysis results. In addition, existing ship communication situational analysis methods often only consider single-modal data, which cannot fully reflect the multi-modal characteristics of maritime traffic. To address these issues, we propose a ship communication situational analysis method based on a multi-modal spatio-temporal knowledge graph. This method can effectively integrate heterogeneous data and model and analyze spatio-temporal relationships and contextual information between data, thus achieving more accurate and comprehensive situational analysis. In conclusion, a multi-modal spatio-temporal knowledge graph is an effective method for ship communication situational analysis, which can overcome the current challenges and difficulties and provide more accurate and comprehensive data support for maritime traffic management.