Big Data in Mobility and Logistics – BDMobiLog 2014
Workshop at INFORMATIK 2014, Stuttgart, September 22, 2014
If you want to visit the workshop, please register for the INFORMATIK 2014 under http://informatik2014.de/registration_de.html.
The workshop program is online
The workshop program of the Joint Workshops on Semantic Web and Big Data Technologies, including BDMobiLog, is online.
BDMobiLog 2014 is now part of the Joint Workshops on Semantic Web and Big Data Technologies
The welcoming session, the keynotes and the panel discussion will be held as joint sessions for all participating workshops. The workshops themselves will take place as parallel sessions.
Further details can be found in the program.
Submission Deadline Extended
We are happy to announce that the submission deadline has been extended to May 4, 2014.
We are looking forward to your submissions.
As part of the INFORMATIK 2014 the workshop “Big Data in Mobility and Logistics” (BDMobiLog 2014) takes place on September 22, 2014 in Stuttgart.
The focus of BDMobiLog 2014 will be on the potential of Big Data in mobility and logistics domain.
Mobility and logistics are closely linked to each other. On one hand, traffic flows and traffic density have a strong influence on the efficiency of logistic processes (especially when it comes to transportation). On the other hand, the trend to e-mobility poses new challenges to the planning processes, e.g. the consideration of battery capacity during planning. Together with other factors, this leads to a rising complexity of logistic processes and logistic networks, as well as a usually big amount of data to be handled. That is why there is already a growing amount of IT-based applications, which support and automate different steps of the logistic processes. Using the right analytic approaches Big Data can elevate these applications to a new level, improve the planning processes, and enable precise and well-founded decisions.
That’s why this workshop aims to bring together researchers and practitioners researching or applying Big Data technologies in mobility and logistics.