This year’s SSTD program includes 2 papers from Data Science Lab, Univ. Piraeus. Check here for the program details.Our Lab received both best paper awards at SSTD’21 Symposium, one of the flagship events of the spatial / spatiotemporal database community. The proceedings of SSTD’21 are available here. The video presentations are available here.
Visualizing streaming AIS positions from vessels sailing in the wider area off the port of Piraeus (Saronic Gulf, Greece). Live Stream: http://www.datastories.org/unipi-ais/ Open-source (GitHub repository): https://github.com/DataStories-UniPi/unipi-ais Usage statistics about our AIS antenna can be found at MarineTraffic, VesselFinder, and AISHub networks- Related publications: MDM’2021, SSTD'2021, Data in Brief 2022- Related datasets: The Piraeus AIS Dataset for Large-scale Maritime Data Analytics- Funding grants: VesselAI, i4Sea Contributors: Andreas Tritsarolis, Yannis Kontoulis and Yannis TheodoridisData Science Laboratory, University of PiraeusCONTACT Andreas Tritsarolis: firstname.lastname@example.org
During the last decade, the domain of mobility data mining has emerged providing many effective methods for the discovery of intuitive patterns representing collective behavior of trajectories of moving objects. Although a few real-world trajectory datasets have been made available recently, these are not sufficient for experimentally evaluating the various proposals, therefore, researchers betake to synthetic trajectory generators. This case is problematic because, on the one hand, real datasets are usually small, which hardens scalability experiments, and, on the other hand, synthetic dataset generators have not been designed to produce mobility pattern driven trajectories. Motivated by this observation, we present Hermoupolis, an effective generator of synthetic trajectories of moving objects that has the main objective that the resulted datasets support various types of mobility patterns (clusters, flocks, convoys, etc.), as…
Moving Object Database (MOD) engines enable us to process, manage and analyze mobility data. Hermes provides MOD functionality to OpenGIS-compatible state-of-the-art Object-Relational DBMS. In general, the big picture of Hermes aiming for the efficient management and exploration of mobility data is illustrated in the following figure.