Journal of Information Resources Management ›› 2020, Vol. 10 ›› Issue (3): 18-26.doi: 10.13365/j.jirm.2020.03.018

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Supporting Theory Framework for Knowledge Fusion in the Era of Big Data

Yu Mengyue  Shen Jing   

  1. Department of Information Management, Peking University, Beijing, 100871
  • Online:2020-05-26 Published:2020-05-26

Abstract: The supporting theory of knowledge fusion in the era of big data can effectively guide the implementing paths and service patterns of knowledge fusion. Based on the three-stage theory of knowledge fusion, the supporting theoretical framework of knowledge fusion in the era of big data is designed by combing and analyzing the relevant support theory before, during and after the fusion of knowledge. This architecture provides relevant theoretical support for the whole process of knowledge fusion in the era of big data. It consists of three levels, three stages, and fifteen theories, including various related theories such as the reasons for fusion and the selection of fusion objects before knowledge fusion, the transformation, representation, calculation and fusion of knowledge in the process, the visualization and effect evaluation of knowledge after knowledge fusion.

Key words: Big data era, Knowledge fusion, Fusion process, Three-stage theory, Theoretical framework

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