FernUniversität Hagen

Faculty of Mathematics and Computer Science


Teaching, Courses, etc.
Master and bachelor theses
written exam

   Current projects
   Closed projects

Research Cluster
Publications and searching for literature


Jobs in our group

About us (Contact address, travel information)
Neuigkeiten als RSS-Feed
Startseite Lehrgebiet Multimedia und Internetanwendungen


Scalable Semantic Product Data Stream Management for Collaboration and Decision Making in Engineering

From 01. 10. 2010 until 30. 09. 2014
Contact Persons:
Sponsored by:
  • European Commission within
    the Seventh Framework Programme
Reference number:
  • 54231218
Participating Institutions:


The goal of SMART VORTEX is to provide a technological infrastructure consisting of a comprehensive suite of interoperable tools, services, and methods for intelligent management and analysis of massive data streams to achieve better collaboration and decision making in large-scale collaborative projects concerning industrial innovation engineering.

SMART VORTEX captures the tractable product data streams in the product lifecycle of design and engineering. In each phase of this lifecycle, different streams of product data are generated. Amongst other, these product data streams contain streams from sensors (data rates of Gigabytes per second), simulation, experimental, and testing data (millions of complex data sets), design data (complex and exchanged between different domains), multi-media collaboration data (heterogeneous, and high information density), and higher level inferred events generated by analyses. These data streams are produced and consumed in all phases of the product lifecycle. The large volume of data in these streams makes the detection of pertinent information a hard problem for both technological infrastructures and humans. SMART VORTEX uses a Data Stream Management System for managing, searching, annotating, analysing and performing feature extraction on these data streams.

Within the lifecycle of design and engineering projects a large number of people need to collaborate in order to achieve the individual project goals, such as bringing the next generation flat panel TV to the market before the competition does, identifying opportunities for improvements of existing products, or the maintenance of products in use. These projects are basically large distributed collaborative processes, where people from different domains of expertise and different organizations have to work together. SMART VORTEX supports these people, systems, and products with collaborative tools and decision support systems managing the constantly produced massive product data streams. SMART VORTEX ensures the efficiency and success of the collaboration by delivering the pertinent information at the right moment.


Thilo Böhm, Claus-Peter Klas, Matthias Hemmje (2014).
Collaborative Information Seeking in Professional Work-Settings: A Study of Equipment Utilization.

Thilo Böhm, Claus-Peter Klas, Matthias Hemmje (2014).
ezDL: Collaborative Information Seeking and Retrieval in a Heterogeneous Environment.

Kolfschoten, G.; Brazier, F. (2012).
Cognitive Load in Collaboration â Convergence. In: Hawaii International Conference on System Science, HICSS 2012

Alzghoul, A.; Löfstrand, M.; Karlsson, L.; Karlberg, M. (2011).
Data stream mining for increased functional product availability awareness. In: International Conference on Industrial Product Service Systems

Alzghoul, A.; Löfstrand, M (2011).
Increasing availability of industrial systems through data stream mining. In: Journal on Computers & Industrial Engineering

Azevedo, D.; Janeiro, J.; Lukosch, S.; Briggs, R.O.; Fonseca B (2011).
An Integrative Approach to Diagram-based Collaborative Brainstorming. In: Workshop "Collaborative usage and development of models and visualizations" at ECSCW 2011

Brunsmann, J.; Wilkes, W.; Brocks, H. (2011).
Exploiting Product and Service Lifecycle Data.. In: International Conference on Product Lifecycle Management

Buttler, T.; Janeiro, J.; Lukosch, S.; Briggs, R.O.; Fonseca B. (2011).
Beyond GSS: Fitting Collaboration Technology to a Given Work Practice. In: Collaboration Researchers International Working Group (CRIWG)

Johanson, M.; Löfstrand, M.; Karlsson, L. (2011).
Turning an Hourglass into a Diamond. In: CENT 2011 Orlando, Florida, USA: Inter-organizational Collaborative Work in the Enterprise of the Future

Kolfschoten, G.; Lukosch, S.; Seck, M (2011).
Simulating Collaboration Processes to Understand and Predict Group Performance. In: Hawaii International Conference on System Science, HICSS 2011

Petter Kyüosti; Sean Reed; Magnus Löfstrand; John Andrews; Lennart Karlsson; Sarah Dunnet (2011).
Simulation of Industrial Support Systems in the Context of Functional Products. In: Advances in Risk and Reliability Technology Symposium

Petter Kyüosti; Sean Reed; Magnus Löfstrand; John Andrews; Lennart Karlsson; Sarah Dunnet (2011).
Modelling and Simulation of Functional Product System Availability. In: International Journal of Product Development

Löfstrand, M.; Karlberg, M.; Andrews, J.; Karlsson, L. (2011).
Functional product system availability: simulation driven design and operation through coupled multi-objective optimisation. In: International Journal of Product Development

Lukosch, S.; Kolfschoten, G. (2011).
Towards effective collaborative design and engineering. In: Workshop on Semantic Models for Adaptive Interactive Systems (SEMAIS) 2011

Di Ciccio, C.; Mecella, M.; Catarci, T. (2011).
Representing and Visualizing Mined Artful Processes in MailOfMine. In: Workshop on Human-Computer Interaction & Knowledge Discovery and Data Mining (HCI-KDD)

Di Ciccio, C.; Mecella, M.; Scannapieco, M.; Zardetto, D.; Catarci, T. (2011).
MailOfMine â Analyzing Mail Messages for Mining Artful Collaborative Processes. In: International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2011)

Pavasson, J.; Karlberg, M (2011).
Variation Mode and Effect Analysis compared to FTA and FMEA in Product Development. In: Advances in Risk and Reliability Technology Symposium

Erik Zeitler; Tore Risch (2011).
Massive scale-out of expensive continuous queries. In: VLDB Endowment Vol. 4, No. 11