Data Management & Visualization Research Group
Transforming Data into Knowledge
Acquisition | Structuring | Formalization | Visualization
Information and the knowledge derived from it have become two of the most important production factors in our economy. The research group breaks down information and expert knowledge into their basic building blocks so they can be integrated into a variety of computer applications.
Expert systems and self-learning, bio-inspired algorithms are used, inter alia, to make information quickly accessible and solution-oriented. The Knowledge Engineering group develops solutions in the fields of big data, high performance computing, data communication and visualisation of multivariate data.
The technologies used range from smart-phone apps to complex integrated online systems, to Hadoop, Spark and Python in the field of high performance computing.
Areas of application
- Collecting and analysing information, data and processes in interdisciplinary projects
- Processing, structuring and integrating large data and knowledge bases
- Implementing self-learning, fault-tolerant algorithms
- Usability concepts and designs
- Interactive communication and visualisation
- «Internet of Things» and Industry 4.0 applications
- High performance computing
Current projects
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Mobile tool for the evaluation of forest edges - Digital Transformation
The tried and tested forest edge key (Krüsi et al. 2017) is suitable for recording the initial condition and later monitoring the success of forest edge enhancements, as it provides reproducible results and is easy to use (Fuhrer et al. submitted). For this reason, this forest edge key is to be further developed ...
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Positive selection detection of genome from Ralstonia bacterium
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Longitudinal progression of White Matter Hyperintensities (WMH)
According to the latest figures from Alzheimer Switzerland, there are currently 48,242 women and 15,711 men aged 85 years and older living with dementia in Switzerland. So-called White Matter Hyperintensities (WMH), which can be measured in MRI images of the brains white matter, are distinct biomarkers of dementia ...
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Bio-SODA – Enabling Complex, Semantic Queries to Bioinformatics Databases through Intuitive Searching over Data (SNSF NRP 75 "Big Data")
One of the major promises of Big Data lies in the simultaneous mining of multiple sources of data. This is particularly important in life sciences, where different and complementary data are scattered across multiple resources. To overcome this issue, the use of RDF/semantic web technology is emerging, but querying ...
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Generic Simulation and Scheduling Tool for Powder Spray Coating Facilities
Powder spray coating facilities belong to the largest energy consumers in Swiss industry. The plant configuration and the production sequence must be optimized for economical and ecological operation. As yet there is no satisfactory tool for this. Our goal is to solve this optimization problem by combining methods ...