Category: Press Coverage

The DCR technology is mentioned in several research articles at Caise conference in June 2019 in Rome. Read more at

DCR graphs mentioned in three articles at the conference

  • Discovering Responsibilities with Dynamic Condition Response Graphs by Viktorija Nekrasaite, Andrew Tristan Parli, Christoffer Olling Back and Tijs Slaats
  • Fifty Shared of Green: How Informative is a Compliant Process Trace?, by Andrea Burratin, Giancarlo Guizzardi, Fabrizio M. Maggi and Marco Montali
  • Evaluating the Understandability of Hybrid Process Model Representations Using Eye Tracking: First Insights by Amine Abbad Andaloussi, Tijs Slaats, Andrea Burratin, Thomas T. Hildebrandt and Barbara Weber, at BPMDS’19

When the It-architecture council was gathered for the 24th time, the machine learning topic where high on the agenda.

The council finds three projects of particular interest, including the “EcoKnow” project and the underlying technology, DCR Graphs, used to develop navigation systems supporting the changeable legislation. The council has an interest in the Ecoknow project as it illustrates the big potential of machine learning, and how it can make public case management systems more effective by handling the changeable regulation in the legislation, in a more flexible way.

We are pleased that our DCR Graphs contribute to the development of even better case management and public service in the municipalities.

Read more about machine learning and the contribution of the EcoKnow project in the article below, published by the Local Government Denmark (Danish article)

Machine Learning skal bidrage til overblik over omskiftelig lovgivning og borgerforløb

Continue reading

Professor Thomas Hildebrandt

DCR (Dynamic Condition Response) enables the possibility of gradually making knowledge work digital. In regards to knowledge work there’s an enormous economic potential in converting to digital form and the prospects of specifying work procedure by utilizing DCR is huge.

I often compare DCR technology with an app like Google Maps, which is able to find a route dynamically regardless of your position or goal and ensure that you follow the rules. At the same, it takes into account the decisions of other users and enables the map to expand gradually or handle any changes in destination. For instance, a hospital might become overcrowded by patients or a job centre may be affected by changes in legislation, or need to handle people with widely different needs. This requires a system which provides the ability to navigate and adapt, explains Thomas Hildebrandt, professor at the IT University of Copenhagen and comments further, that the technology at the same time provides the opportunity to identify certain routines which repeat themselves, and can be automated.

A similar comparison can be made with a car which is able to cruise down the motorway or even park by itself, he says.

  • 1
  • 2