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Managing Human and Artificial Knowledge Bearers

The Creation of a Symbiotic Knowledge Management Approach

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Business Modeling and Software Design (BMSD 2020)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 391))

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Abstract

As part of the digitization, the role of artificial systems as new actors in knowledge-intensive processes requires to recognize them as a new form of knowledge bearers side by side with traditional knowledge bearers, such as individuals, groups, organizations. By now, artificial intelligence (AI) methods were used in knowledge management (KM) for knowledge discovery, for the reinterpreting of information, and recent works focus on the studying of different AI technologies implementation for knowledge management, like big data, ontology-based methods and intelligent agents [1]. However, a lack of holistic management approach is present, that considers artificial systems as knowledge bearers. The paper therefore designs a new kind of KM approach, that integrates the technical level of knowledge and manifests as Neuronal KM (NKM). Superimposing traditional KM approaches with the NKM, the Symbiotic Knowledge Management (SKM) is conceptualized furthermore, so that human as well as artificial kinds of knowledge bearers can be managed as symbiosis. First use cases demonstrate the new KM, NKM and SKM approaches in a proof-of-concept and exemplify their differences.

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Authors and Affiliations

  1. University of Potsdam, 14482, Potsdam, Germany

    Marcus Grum

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  1. Marcus Grum
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Correspondence to Marcus Grum .

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  1. Faculty of Information Sciences, University of Library Studies and Information Technologies, Sofia, Bulgaria

    Boris Shishkov

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Grum, M. (2020). Managing Human and Artificial Knowledge Bearers. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2020. Lecture Notes in Business Information Processing, vol 391. Springer, Cham. https://doi.org/10.1007/978-3-030-52306-0_12

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  • DOI: https://doi.org/10.1007/978-3-030-52306-0_12

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