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Collaborative Knowledge Platform: when the learning route provides data for the Knowledge-based System

Author

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  • Gabriella Haasz
  • Zoltan Baracskai

Abstract

The Digital Age has brought not only new tools but also several new methods. A Collaborative Knowledge Platform with a hybrid intelligent system may be the appropriate base of a knowledge management system to ensure inspiration and new knowledge for a professional group of individuals. The introduced concept contributes to Knowledge Collaboration and Knowledge Engineering. The method is a special form of Knowledge Engineering which involves combining machine learning algorithms with cased-based reasoning and the result is the transformation of personal knowledge to widely adaptable explicit knowledge. Individuals can learn informally while their learning route automatically generates data for reductive reasoning process, which finally leads to the opportunity of experience mining. A concept and an approach are suggested to improve the knowledge collaboration in innovative communities, and a creative problem solving process delivers the outcome in the development of a Knowledge Management System. Finally, some partial results of the design phase of an application are presented.

Suggested Citation

  • Gabriella Haasz & Zoltan Baracskai, 2022. "Collaborative Knowledge Platform: when the learning route provides data for the Knowledge-based System," Knowledge Management Research & Practice, Taylor & Francis Journals, vol. 20(6), pages 925-934, November.
  • Handle: RePEc:taf:tkmrxx:v:20:y:2022:i:6:p:925-934
    DOI: 10.1080/14778238.2022.2079567
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