Alpen-Adria-Universitaet Klagenfurt
46. Jahrestagung, Gesellschaft für Informatik e.V. (GI), Klagenfurt/Österreich
INFORMATIK 2016 > _Workshops > BDSDST 2016 > BDSDST 2016

2nd International Workshop on Big Data, Smart Data and Semantic Technologies – BDSDST 2016

Date, Room Web Site / Submission

Freitag, 30.09. | 09:00 - 12:30h
Raum E.2.42
Website, EasyChair, Schedule

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

Full papers must not exceed 14 pages. Short papers, work in progress and industrial papers must not exceed 8 pages. Contributions must be submitted via Easychair online submission. Submissions will be reviewed by at least two program committee members. Accepted papers will appear in the (electronic) Lecture Notes in Informatics (LNI) and have to presented at the workshop by at least one author.
    Important Dates:
  • Paper submission deadline: May 22, 2016 (extended)
  • Author notification: June 15, 2016
  • Camera ready version: June 28, 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.

Intended Audience
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.

Organization and involved GI Interest Group

Dr. Nico Rödder
FZI Forschungszentrum Informatik Karlsruhe
+49 (0)721 9654 844
Prof. Dr. Stefan Jähnichen
FZI Forschungszentrum Informatik Karlsruhe
+49 (0)721 9654 888
Dr. Stefan Zander
FZI Forschungszentrum Informatik Karlsruhe
+49 (0)721 9654 834
Natalja Kleiner
FZI Forschungszentrum Informatik Karlsruhe
+49 (0)721 9654 866
Prof. Dr. Rudi Studer
Institute of Applied Informatics and Formal Description Methods
Karlsruhe Institute of Technology
+49 (0)721 608 43923
Suad Sejdovic
Institute of Applied Informatics and Formal Description Methods
FZI Forschungszentrum Informatik Karlsruhe

Program Committee (unconfirmed)

  • Andreas Abecker, disy Informationssysteme GmbH, Karlsruhe Germany
  • Jan Froese, Kuehne + Nagel (AG & Co.) KG, Hamburg, Germany
  • Paul Karänke, Decision Sciences & Systems (i18) TU München, Munich, Germany
  • Christoph Bier, Fraunhofer IOSB, Karlsruhe, Germany
  • Martin Birkmeier, FIR e.V. an der RWTH Aachen, Aachen, Germany
  • Simone Braun, CAS Software AG, Karlsruhe, Germany
  • Mark Hefke, CAS Software AG, Karlsruhe, Germany
  • Martin Junghans, IBM Deutschland GmbH, Stuttgart, Germany
  • Marco Lewandowski, BIBA Universität Bremen, Bremen, Germany
  • Jens Nimis, Hochschule Karlsruhe, Karlsruhe, Germany
  • Manuel Wiesche, Chair for Information Systems (i17) TU München, Munich, Germany
  • Stefan Nickel, Discrete Optimization and Logistics, Karlsruher Institut für Technologie, Karlsruhe, Germany
  • Gerald Ristow, Software AG, Darmstadt, Germany
  • Fabian Schmidt, Software AG, Darmstadt, Germany
  • Maximilian Schreieck, Chair for Information Systems (i17) TU München, Munich, Germany
  • Thomas Usländer, Fraunhofer IOSB, Karlsruhe, Germany