Moving Object Trajectories Meta-Model And Spatio-Temporal Queries

TL;DR

This paper presents a comprehensive ontology-based meta-model for moving object trajectories that enhances interoperability, supports complex spatio-temporal queries, and accommodates diverse data sampling protocols and sensors.

Contribution

It introduces a novel meta-model combining ontology and event approaches, including new patterns like space-time paths and recursive regions of interest.

Findings

Supports complex trajectory queries efficiently

Handles diverse sampling protocols and sensors

Enhances interoperability and information sharing

Abstract

In this paper, a general moving object trajectories framework is put forward to allow independent applications processing trajectories data benefit from a high level of interoperability, information sharing as well as an efficient answer for a wide range of complex trajectory queries. Our proposed meta-model is based on ontology and event approach, incorporates existing presentations of trajectory and integrates new patterns like space-time path to describe activities in geographical space-time. We introduce recursive Region of Interest concepts and deal mobile objects trajectories with diverse spatio-temporal sampling protocols and different sensors available that traditional data model alone are incapable for this purpose.