In the DKW group, we have a strong focus on collaboration. The group is involved in numerous national (Danish) and externally funded international (European) research projects.

We maintain strong and long-term links to several outstanding researchers and research labs as well as industrial collaborators. These collaborations form the basis of several of our international projects but also for the basis for joint research and joint publications also outside of formal research projects. Maintaining and fostering these collaborations enhances quality and impact of our research. 

Below you find a list of both current and completed research projects, as well as networks and partnerships in which we are involved.  

Contact and collaborate with us

Collaborate with DEIS

We seek to share our knowledge and our research. If you are interested in collaborating with us, please contact us!

Current Projects

Read more about the RelWeb project

Making the vision of a reliable Web of Data become a reality (RELWEB)

The World Wide Web is one of the most influential inventions that have radically changed our lives. One part of it, however, is designed for machines and provides access to vast amounts of data: the Web of Data – a building block of the Semantic Web. Although the information on the Web of Data is freely available and covers a broad range of topics, it remains mostly unexploited. The goal of this project is to develop technologies that overcome current challenges and establish a reliable Web of Data.

  • Funding: The project is funded by the Danish Council for Independent Research (DFF)
  • Project period: 2019-2024

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Read more about the DREAMS project

Digitally supported Environmental  Assessment for Sustainable Development Goals (DREAMS)

The vision of this project is to promote progress on Sustainable Development Goals (SDGs) by digitally transforming the way society accesses and communicates information about environmental impacts of projects and plans, in order to enable the best  decisions towards green transition in a transparent and inclusive democratic process.

  • Partners:15 Danish partners 
  • Funding: The project is funded by Innovation Fund Denmark
  • Project period: 2020-2023

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Read more about the ODA project

Open Data for Sustainability Assessment (ODA)

Sustainability Assessment in the form of Life Cycle Assessment (LCA) is essential for European research and technology development, SDG-assessment, but existing data is difficult to establish and obsolete quickly.

The ODA project creates and demonstrates the concept for a smart platform for collecting and organizing data in a multidisciplinary collaboration between computer science researchers, sustainability researchers at AAU, and in cooperation with an international network of experts.

  • Partners: Department of Computer Science and Department of Planning, Aalborg University
  • Project period: 2019-2022

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Researchers across Aalborg University will collaborate on mapping more bacterial genomes.

Data Science Meets Microbial Dark Matter

Bacteria are present everywhere. They can make us ill. They can keep us healthy. In other words, bacteria have an endless range of applications. But if we are to utilize this potential to the full, we need to know a much larger part of the genome of bacteria. And therein lies the catch: Today, we know the genome of far less than one percent of bacteria in nature. 

In this project researchers pool their knowledge on DNA sequencing, graph analysis and machine learning for mapping more bacterial genomes faster.

  • Partners: Department of Chemistry and Bioscience and the Department of Computer Science, Aalborg University 
  • Funding: The project is funded by the VILLUM FOUNDATION 
  • Project period: 2021-2022

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Read more about the EDAO project

Example-Driven Analytics of Open Knowledge Graphs (EDAO) 

The Linked Open Data cloud (LOD) contains a very rich corpus of information that requires dedicated business analytics and information extractions technologies for the elicitation of valuable insights. Yet, to access this data and perform such analysis, the typical gateways are specialized query languages that are usually challenging to use to non-expert users. This constitutes a major impediment in the successful exploitation of Linked Open Data.

To support advanced LOD analytics, this project proposes a novel data exploration system which allows users to extract insights within complex and unfamiliar datasets.

  • Funding: The project is funded by the European Commission Union's Horizon 2020
  • Project period: 2019-2021

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Centres, Networks and Partnerships

Read more about COST

COST Action - Distributed Knowledge Graphs

The European Cooperation in Science and Technology (COST) is a funding organisation for the creation of research networks, called COST Actions. These networks offer an open space for collaboration among scientists across Europe (and beyond) and thereby give impetus to research advancements and innovation.

COST is bottom up, this means that researchers can create a network – based on their own research interests and ideas – by submitting a proposal to the COST Open Call. The proposal can be in any science field. COST Actions are highly interdisciplinary and open. 

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Read more about DEDS

DEDS - Data Engineering for Data Science

Data is a key asset in modern society. Data Science, which focuses on deriving valuable insight and knowledge from raw data, is indispensable for any economic, governmental, and scientific activity. Data Engineering provides the data ecosystem (i.e., data management pipelines, tools and services) that makes Data Science possible.

The European Joint Doctorate in "Data Engineering for Data Science" (DEDS) is designed to develop education, research, and innovation at the intersection of Data Science and Data Engineering. Its core objective is to provide holistic support for the end-to-end management of the full lifecycle of data, from capture to exploitation by data scientists.

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Read more about DDSA


The Danish Data Science Academy supports and initiates new initiatives for Danish research institutions and tech companies, primarily within training of experts and interdisciplinary collaboration, two crucial areas for Denmark to realize its potential within data science.

The Danish Data Science Academy aims to unite and strengthen the many national participants and stakeholders within the academic environment, health tech and business community.
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Completed projects


Department of Computer Science, Aalborg University

Selma Lagerlöfs Vej 300  ・ 9220 Aalborg East, Denmark 
Telephone: +45 9940 9940  ・ Mail: