SEMINT: An LLM-Empowered Long-Term Vessel Trajectory Prediction Framework

This is a novel framework that integrates semantic cognition and intent context-awareness for long-term vessel trajectory prediction. The file 'vstkb.zip' contains a vessel spatio-temporal knowledge base, including all experimental data and LLM-generated text, while 'SEMINT.zip' contains the source code for the framework.