Automatic Generation of Trajectory Data Warehouse Schemas

A mobile object is a spatial object that changes the form and the location permanently over the time. Each displacement creates a trajectory that reflects the evolution of its position in space during a given time interval. It generates, then, a huge amount of trajectory data that are stored into trajectory data warehouse because it is the only tool that can analysis the historical trajectory data. In this work, we focus on the design of trajectory data warehouse schema and we propose automating this task to reduce human intervention since it is done manually and requires good knowledge of the domain. To achieve this goal, firstly, we automate the extraction of trajectory data mart schemas from a moving data base. Then, we merge them to get the trajectory data warehouse schema using a new schema integration methodology that is composed by schema matching and schema mapping.