[2602.08482] CLEAR: A Knowledge-Centric Vessel Trajectory Analysis Platform

Computer Science > Databases arXiv:2602.08482 (cs) [Submitted on 9 Feb 2026 (v1), last revised 28 Mar 2026 (this version, v2)] Title:CLEAR: A Knowledge-Centric Vessel Trajectory Analysis Platform Authors:Hengyu Liu, Tianyi Li, Haoyu Wang, Kristian Torp, Yushuai Li, Tiancheng Zhang, Torben Bach Pedersen, Christian S. Jensen View a PDF of the paper titled CLEAR: A Knowledge-Centric Vessel Trajectory Analysis Platform, by Hengyu Liu and 7 other authors View PDF HTML (experimental) 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. Comments: Subjects: Databases (cs.DB); Artificial Intell...