Building Z6, Hubland Campus, University of Würzburg
9:00 – 9.30 Welcome from the organizers & Introduction: Multiple-Aspect Analysis of Semantic Trajectories
Dr. Chiara Renso (CNR), Prof. Stan Matwin (Dalhousie University), Asst. Prof. Konstantinos Tserpes (Harokopio University)
Session 1 Analysis of vessel data
9:30 – 9.50 Uncovering hidden concepts from AIS data: A network abstraction of maritime traffic for anomaly detection
Ioannis Kontopoulos, Iraklis Varlamis and Konstantinos Tserpes, (Harokopio University of Athens, Greece)
9:50 – 10.10 Predicting Fishing Effort and Catch Using Semantic Trajectories and Machine Learning
Pedram Adibi (Institute for Big Data Analytics, Dalhousie University, Halifax, Canada), Fabio Pranovi, Alessandra Raffaetà, Elisabetta Russo, Claudio Silvestri and Marta Simeoni (Dipartimento di Scienze Ambientali, Informatica e Statistica, Università Ca’ Foscari, Venezia), Amilcar Soares and Stan Matwin (Institute for Big Data Analytics, Dalhousie University, Halifax, Canada)
10:10 – 10.20 Questions and debate
10:30 – 11.00 Coffee break
Session 2 Trajectory prediction
11:00 – 11.20 Online long-term trajectory prediction based on mined route patterns
Petros Petrou, Panagiotis Tampakis, Harris Georgiou, Nikos Pelekis and Yannis Theodoridis (University of Piraeus, Greece)
11:20 – 11.40 EvolvingClusters: Online Discovery of Group Patterns in Enriched Maritime Data
George-Stylianos Theodoropoulos, Andreas Tritsarolis and Yannis Theodoridis (University of Piraeus, Greece)
11:40 – 12.00 A Neighborhood-augmented LSTM Model for Taxi-Passenger Demand Prediction
Tai Le Quy (Leibbiz University Hannover, Germany), Myra Spiliopoulou (Otto-von-Guericke-University Magdeburg, Germany), Wolfgang Nejdl (L3S and University of Hannover, Germany) and Eirini Ntoutsi (Leibbiz University Hannover, Germany)
12:00 – 12.20 Multi-Channel Convolutional Neural Networks for Handling Multi-Dimensional Semantic Trajectories and Predicting Future Semantic Locations
Antonios Karatzoglou (Robert Bosch GmbH Germany)
12:20 – 12.40 Questions and debate
12:40 – 14.00 Lunch Break
14:00 – 15.00 Invited Talk: Learning from our movements – The mobility data analytics pipeline
Prof. Yannis Theodoridis (University of Piraeus, Greece)
15:00 – 15.20 Coffee break
Session 3 Mobile sensing and analysis
15:20 – 15.40 Nowcasting Unemployment Rates with Smartphone GPS data
Daisuke Moriwaki (Cyberagent, inc., Japan)
15:40 – 16.00 Prospective Data Model and Distributed Query Processing for Mobile Sensing Data Streams
Mariem Brahem, Karine Zeitouni, Laurent Yeh and Hafsa El Hafyani (University of Versailles-Saint-Quentin, France)
16:00 – 16.20 Questions and debate
16:20 End of workshop
All accepted papers will be published in a special section of the LNAI conference proceedings and become openly accessible. The costs for gold open access publishing will be covered by the project “MASTER”.
Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.
The copyright form can be downloaded from here.
Selected papers will be invited in a special issue in a journal such as International Journal of Geographical Information Science (IJGIS). The exact journal will be announced soon.
The workshop is organized and sponsored by the project MASTER. MASTER (http://www.master-project-h2020.eu) project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 777695.
For further inquiries please contact: tserpes-at-hua-dot-gr