CFP for 2nd International Workshop on Big Data, Smart Data and Semantic Technologies (BDSDST 2016) at INFORMATIK 2016




2nd International Workshop on Big Data, Smart Data and Semantic Technologies
(BDSDST 2016) at INFORMATIK 2016




INFORMATIK 2016, Klagenfurt, Austria, September 26 - 30, 2016

BDSDST Workshop, September 30, 2016, 09:00 - 17:30h





Paper submission deadline: May 22, 2016 (extended)

Author notification: June 6, 2016

Camera ready version: June 27, 2016

Workshop: September 30, 2016




In modern societies, almost every individual is using technology for
entertainment, communication or business purposes. Depending on roles and
goals, as well on the application domain, the variety of data people work
with is becoming more and more complex. At the same time, the growing
technical possibilities to gather and aggregate multi-modal data from
sensors and different services allow for evidence-based information systems
enabling both humans and machines to make well-informed decisions.


These large and complex data sets, commonly characterized by high data
volume, high variety of the data types and data sources, high velocity of
the incoming data and the expected information output (real-time
requirement) as well as the uncertainty about the veracity of the data, are
known as Big Data. These characteristics make it difficult to process the
data using existing data management applications and traditional information
technologies. On the other hand, when processed and analyzed properly, Big
Data is transformed into “Smart” Data and might carry huge amounts of useful
information, which was not accessible beforehand and allows for
better-founded, more robust predictions and improved decision-making in
almost any domain. That is why new predictive and prescriptive analytic
approaches are continuously increasing in importance. 


Besides new analytic approaches, novel information technologies such as
semantic technologies are necessary in order to exploit the full potential
of the gathered data. Unlike traditional information technology where the
meaning of data and their relationships are predefined and “hard-wired” into
data formats and applications, semantic technologies encode meanings
explicitly and independent from concrete formats and application logic. This
enables machines and people likewise to understand, share, and reason over
semantically represented data. Semantic technologies provide an abstraction
layer on top of existing ICT infrastructures and facilitate the
interrelation and integration of data, content, and processes in meaningful
ways, which is very important when dealing with high amounts of
heterogeneous data.


We believe that using Big and Smart Data as well as methods and tools based
on semantic technologies will provide more transparency, enable precise and
well-founded decisions and improve planning processes, which will result in
more efficient and user-centric processes and systems, especially in the
application areas listed subsequently.




The BDSDST 2016 workshop aims at bringing together researchers and
practitioners using Big and Smart Data and/or semantic technologies and
support technology transfer from foundational research into practice. 

We invite submissions from - but not limited to - the following domains:


* Transport logistics

* Production planning and control

* Production scheduling

* Process planning and monitoring

* Maintenance logistics

* Service parts demand analytics

* Supply chain management

* Smart Factory

* Integration and visualization of sensor and mobility data

* Data-driven supply chain and traffic optimization

* Risk and congestion management 

* Disruption management

* Mobility service analytics

* Traffic flow modelling and analytics

* Emission modelling, analytics, simulation and visualization 

* Public transportation

* Open Data      

* Prescriptive analytics

* Complex Event Processing

* Ambient Intelligence

* Cognitive Systems

* Information Integration

* Machine Learning

* Mobile Information Systems

* Context-aware Computing

* Text Mining

* Service-oriented Computing

* Grid and Cloud Computing

* Technology-enhanced learning

* Automation

* Energy consumption modelling, monitoring and analytics

* smartEnergy

* Smart Grid

* eGovernment

* eMobility

* eHealth


In addition to general usage of Big Data and semantic technologies, a focus
on improving the transparency, usability and auditability of processes and
systems, is especially encouraged.




As participants of the workshop, we expect researchers and practitioners
from various fields in research and industry. The program committee will
comprise a substantial number of participants from industry.




Contributions are limited to 14 pages for full papers and to 8 pages for
short papers, work in progress papers and industrial papers. 

The contributions will be reviewed by several program committee members
each. Accepted papers have to be presented at the workshop by at least one


- Submissions must be in PDF format and follow the LNI style guidelines (

- Accepted papers will appear in the (electronic) Lecture Notes in
Informatics (LNI,  <>

- Contributions shall be submitted via EasyChair online submission system at




Nico Rödder, FZI Research Center for Information Technology, Karlsruhe,

Natalja Kleiner, FZI Forschungszentrum Informatik, Karlsruhe, Germany

Suad Sejdovic, FZI Forschungszentrum Informatik, Karlsruhe, Germany

Stefan Zander, FZI Forschungszentrum Informatik, Karlsruhe, Germany

Stefan Jähnichen, FZI Research Center for Information Technology, Berlin
Branch, Germany

Rudi Studer, Karlsruher Institut für Technologie (KIT), Karlsruhe, Germany


Dipl.-Inform. Suad Sejdovic
Wissenschaftlicher Mitarbeiter / Research Scientist

Information Process Engineering (IPE)


FZI Forschungszentrum Informatik

Haid-und-Neu-Str. 10–14 

76131 Karlsruhe, Germany

Tel.: +49 721 9654-834

Fax: +49 721 9654-835





FZI Forschungszentrum Informatik am Karlsruher Institut für Technologie

Stiftung des bürgerlichen Rechts

Stiftung Az: 14-0563.1 Regierungspräsidium Karlsruhe

Vorstand: Prof. Dr. Andreas Oberweis, Prof. Dr. Ralf Reussner, 

Jan Wiesenberger, Prof. Dr.-Ing. J. Marius Zöllner

Vorsitzender des Kuratoriums: Ministerialdirigent Günther Leßnerkraus




Received on Wednesday, 27 April 2016 09:32:42 UTC