KI - Künstliche Intelligenz

, Volume 33, Issue 1, pp 45–55 | Cite as

Managed Forgetting to Support Information Management and Knowledge Work

  • Christian JilekEmail author
  • Yannick Runge
  • Claudia Niederée
  • Heiko Maus
  • Tobias Tempel
  • Andreas Dengel
  • Christian Frings
Technical Contribution


Trends like digital transformation even intensify the already overwhelming mass of information knowledge workers face in their daily life. To counter this, we have been investigating knowledge work and information management support measures inspired by human forgetting. In this paper, we give an overview of solutions we have found during the last 5 years as well as challenges that still need to be tackled. Additionally, we share experiences gained with the prototype of a first forgetful information system used 24/7 in our daily work for the last 3 years. We also address the untapped potential of more explicated user context as well as features inspired by memory inhibition, which is our current focus of research.


(Intentional) Forgetting Information management and knowledge work support Semantic desktop User context Self-organizing systems 



This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—DE 420/19-1.


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Christian Jilek
    • 1
    • 2
    Email author
  • Yannick Runge
    • 3
  • Claudia Niederée
    • 4
  • Heiko Maus
    • 1
  • Tobias Tempel
    • 5
  • Andreas Dengel
    • 1
    • 2
  • Christian Frings
    • 3
  1. 1.Smart Data and Knowledge Services DepartmentDFKI GmbHKaiserslauternGermany
  2. 2.Knowledge-Based Systems Group, Department of Computer ScienceTU KaiserslauternKaiserslauternGermany
  3. 3.Department of General Psychology and MethodologyUniversity of TrierTrierGermany
  4. 4.L3S Research CenterHannoverGermany
  5. 5.Special Education DepartmentLudwigsburg University of EducationLudwigsburgGermany

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