From spatial to spatio-temporal and, then, to mobility data. The next step is mobility-aware integrated Big Data analytics. The second Big Mobility Data Analytics (BMDA) workshop, co-located with 2019 joint EDBT/ICDT Conference, aims at bringing together experts in the field from academia, industry and research labs to discuss the lessons they have learned over the years, to demonstrate what they have achieved so far, and to plan for the future of “mobility”.

The objective of the BMDA workshop is to bring together researchers and practitioners interested in scalable data-intensive applications that manage and analyze big mobility data. The workshop will foster the exchange of new ideas on multidisciplinary real-world problems, discussion on proposals about innovative solutions, and identify emerging opportunities for further research in the area of big mobility data analytics, covering all layers of the Big Data Value Analytics (BDVA) reference model, namely data management, data processing, data analytics, and data visualization and user interaction. The workshop intends to bridge the gap between researchers and big data stakeholders, including experts from critical domains, such as urban / maritime / aviation transportation, human complex networks, etc.

We encourage submissions of papers that highlight the value of mobility data processing, analyzing, and mining on topics that include (but are not limited to) the following:

• Fundamentals of mobility data analytics
• Big data platforms for mobility data analytics
• Parallel / streaming data processing for mobility analytics
• Predictive analytics using mobility data
• Complex event detection for moving objects
• Visual analytics on big mobility data
• Mobility-as-a-Service
• Interactive traffic analysis with GPS data
• Urban / maritime / aviation traffic flow forecasting
• Urban / maritime / aviation travel time prediction
• Integration / interlinking of mobility with societal data
• Geosocial networks
• Philosophical / ethical / privacy issues on mobility data analytics

Track & Know
Track & Know researchers will participate in the BMDA workshop and present the research progress made by T&K partners.

Paper Submission Procedure, Workshop Proceedings, Journal special section
We invite papers discussing novel research and ideas without substantial overlap with papers that have been published or submitted to a journal or a conference with proceedings. Submitted papers can be of two types:

• Regular Research Papers: these papers should report original research results or significant case studies. They should be 5000-8000 words (at most 8 pages) long.
• Position Papers: these papers should report novel research directions or identify challenging problems. They should be at most 4 pages long.

Submissions should be formatted using the EDBT/ICDT 2019 camera-ready template and submitted through the workshop’s submission system at EasyChair. Following the tradition of recent EDBT/ICDT workshops, all workshop papers will be published online at CEUR. All submitted papers will be peer reviewed by at least three reviewers. If accepted, at least one of the authors must attend the workshop to present the work.

Selected accepted papers will be considered for a special section at GeoInformatica (impact factor: 2.1)

Important dates
Paper Submission: December 22, 2018 (****new deadline****)
Notification of Acceptance: January 19, 2019
Camera Ready Paper Due: January 29, 2019
Workshop date: March 26, 2019

Organization and Support

Workshop organizers:

• Alexander Artikis, University of Piraeus & NCSR Demokritos
• Themis Palpanas, Paris Descartes University
• Nikos Pelekis, University of Piraeus, Greece
• Chiara Renso, ISTI-CNR Pisa, Italy
• Yannis Theodoridis, University of Piraeus & Athena RIC
• Dimitrios Zissis, University of the Aegean, Greece

Program Committee:

• Amilcar Soares Júnior, Dalhousie University, Canada
• Andrienko Gennady, Fraunhofer Institute IAIS, Germany
• Askounis Dimitris, National Technical University of Athens, Greece
• Baskiotis Nicolas, LIP6/UPMC, France
• Bogorny Vania, Universidade Federal de Santa Catarina, Brazil
• Chatzikokolakis Kostas, CNRS, Ecole Polytechnique, France
• Dallachiesa Michele, Telefonica
• Doulkeridis Christos, University of Piraeus, Greece
• Georgiou Harris, University of Piraeus, Greece
• Nanni Mirco, HISTI-CNR, Pisa, Italy
• Patroumpas Kostas, IMIS, Athena Research Center, Greece
• Raffaeta’ Alessandra, Universita’ Ca’ Foscari Venezia, Italy
• Ray Cyril, Naval Academy Research Institute, France
• Trasarti Roberto, ISTI-CNR, Pisa, Italy
• Tserpes Konstantinos, Harokopio University of Athens. Greece
• Weibel Robert, University of Zurich, Switzerland
• Zeinalipour-Yazti Demetrios, University of Cyprus, Cyprus
• Zeitouni Karine, University of Versailles-Saint-Quentin, France

Supported by:

• EU Horizon 2020 project BigDataOcean (Exploiting Ocean’s of Data for Maritime Applications)
• EU Horizon 2020 project datAcron (Big Data Analytics for Time Critical Mobility Forecasting)
• EU Horizon 2020 project MASTER (Multiple Aspects Trajectory Management and Analysis)
• EU Horizon 2020 project Track and Know (Big Data for Mobility Tracking Knowledge Extraction in Urban Areas)