By: José Macedo (Federal University of Ceará)
Abstract:
With the growth of mobile devices equipped with geographical localization services, it has become economical and technically feasible to capture moving object trajectories in real life. Many interesting applications are being developed based on trajectory analysis. For example, in a traffic management system, traffic jams may be determined by mining movement patterns of groups of cars. In general, trajectory data can be analyzed into two different perspectives: real time and historical. In addition, trajectory applications share a common need, a more structured recording of movement. This allows managing trajectories as first class citizens and attaching whatever semantics the application requires, and developing robust and efficient methods to aggregate a set of trajectories that may support complex analysis. This paper extends previous work on the conceptual modeling of trajectories by generalizing the idea of stops and moves and by defining a set of aggregation functions on trajectory data. In addition, this work proposes two modeling approaches, both based on design patterns, for devising trajectory data schemas for relational and multidimensional environments. A real-world case study about truck trajectories is used as a proof of concept. Experimental results showed that these modeling approaches offer the flexibility we are looking for to cope with the potential complexity of trajectory semantics in real time and historical analyses.
Short-bio:
Jose Macedo holds an MSc in Computer Science and a PhD degree in Computing, both from the Pontifical Catholic University of Rio de Janeiro, Brazil. During his PhD course he worked at ISI Lab at ENST-Bretagne, France and at Database Laboratory at EPFL, Switzerland. From 2006 to 2009, he was a Senior Researcher at Database Laboratory at EPFL, Switzerland. He joined the Computer Science Department of the Federal University of Ceará in 2009, where he is currently a Associate Professor. In 2010, he was granted with a research fellowship from the National Counsel of Technological and Scientific Development (CNPq) of Brazil. He is the author of more than 30 refereed journal and conference papers and his research interests include conceptual modeling and database design, cloud computing data management, and semantic web.