Towards a Hybrid and Semantically Enriched Trajectory Data Warehouse
Damião Ribeiro de Almeida, Samuel Pereira de Vasconcelos, Fabio Gomes de Andrade, Cláudio de Souza Baptista · 2021
In the last years, many research works have developed Data Warehouses to perform trajectory data analysis. An essential problem in this context is how to represent trajectory data in the data warehouse. Another critical challenge consists of enhancing trajectory data by describing the semantics of each movement, enabling these systems to solve queries concerning multiple aspects of the trajectories. This paper presents a trajectory framework that encompasses the main steps in the transformation process, semantic enrichment, and data analysis. In addition to semantic information already commonly dealt with by other research in the area, our framework also includes other semantic information based on a context taxonomy present in the literature. The raw trajectories are semantically enriched, summarized in a multidimensional model, and made available for analysis by an exploratory SOLAP tool. Furthermore, we explore new information on the web to enhance the analytics process.