KNOT: Knowledge Discovery from Trajectory Data

为了回应来自学术界、工业界和用户社区的强烈兴趣，本提案旨在从大量轨迹数据中进行知识发现领域的深入而合理的研究。该研究的总体目标是开发从轨迹数据中处理、挖掘和传播有用知识的创新方法。研究将主要集中在海上船舶交通的应用领域。将对各种AIS系统（例如marinetraffic.com）收集的来自地中海爱琴海和加拿大圣劳伦斯河的大量历史数据集进行分析和测试。

In response to a strong expression of interest from the academic, industrial, and user communities, this proposal aims at performing a deep and sound research in the area of Knowledge Discovery from massive collections of trajectory data. The overall objective of the research is to develop innovating methods for processing, mining and disseminating useful knowledge from trajectory data. The research will mainly focus on the application area of Sea Vessel Traffic. A massive collection of historical datasets from both the Aegean Sea in the Mediterranean and the Saint Lawrence River in Canada as collected by various AIS Systems (e.g., marinetraffic.com), will be analyzed and tested.