CLEAR: A Knowledge-Centric Vessel Trajectory Analysis Platform

TL;DR

CLEAR is a vessel trajectory analysis platform that uses Large Language Models and a knowledge graph to transform raw AIS data into complete, interpretable vessel trajectories, aiding non-expert users in maritime analytics.

Contribution

It introduces a knowledge-centric approach combining LLMs and a structured knowledge graph to improve vessel trajectory analysis from AIS data.

Findings

Enables automatic processing and annotation of AIS data.

Provides an interactive graph viewer for exploring vessel movements.

Achieves more complete and interpretable vessel trajectories.

Abstract

Vessel trajectory data from the Automatic Identification System (AIS) is used widely in maritime analytics. Yet, analysis is difficult for non-expert users due to the incompleteness and complexity of AIS data. We present CLEAR, a knowledge-centric vessel trajectory analysis platform that aims to overcome these barriers. By leveraging the reasoning and generative capabilities of Large Language Models (LLMs), CLEAR transforms raw AIS data into complete, interpretable, and easily explorable vessel trajectories through a Structured Data-derived Knowledge Graph (SD-KG). As part of the demo, participants can configure parameters to automatically download and process AIS data, observe how trajectories are completed and annotated, inspect both raw and imputed segments together with their SD-KG evidence, and interactively explore the SD-KG through a dedicated graph viewer, gaining an intuitive and transparent understanding of vessel movements.