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Managed Forgetting to Support Information Management and Knowledge Work

Abstract

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.

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Notes

  1. 1.

    2013–2016, http://www.forgetit-project.eu.

  2. 2.

    2016–2019, http://www.spp1921.de/projekte/p4.html.de.

  3. 3.

    http://www.w3.org/standards/semanticweb.

  4. 4.

    http://www.w3.org/RDF.

  5. 5.

    Demo video at https://pimo.opendfki.de/cSpaces/.

  6. 6.

    Incorporating previous methods to infer user context and context switches [26, 38] into our new prototype is currently in development. If such a prediction is correct, explicitly selecting a particular context is not necessary.

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Acknowledgements

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

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Correspondence to Christian Jilek.

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Jilek, C., Runge, Y., Niederée, C. et al. Managed Forgetting to Support Information Management and Knowledge Work. Künstl Intell 33, 45–55 (2019). https://doi.org/10.1007/s13218-018-00568-9

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Keywords

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