Modeling Knowledge Flow Using Petri Net

  • Authors:
  • Zhaoli Zhang;Zongkai Yang;Qingtang Liu

  • Affiliations:
  • -;-;-

  • Venue:
  • KAM '08 Proceedings of the 2008 International Symposium on Knowledge Acquisition and Modeling
  • Year:
  • 2008

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Abstract

Organizations and communities are held together by knowledge flow networks whether people are aware of them or not. Knowledge flows influence the evolution of culture and language, promote international collaboration, and hasten the development of science. In this paper, we propose a Petri net based model of knowledge flow for more effective and efficient knowledge management, knowledge flow management, and knowledge flow network planning. We describe a research approach and modeling environment that enables the knowledge flows to be formalized through computational models. The model enables users to study knowledge flow in a visualized network and to develop strategies for adapting networks to changing conditions. The basic idea is to adapt and control logistical processes for knowledge flow within teams, organizations, and communities.