Analysis and Study of the Process Enterprise Knowledge Management Model Based on the Recommendation Algorithm

Zhen Yu Yang; Jun Zhou

doi:10.4028/www.scientific.net/AMM.411-414.1099

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 411-414Analysis and Study of the Process Enterprise...

Analysis and Study of the Process Enterprise Knowledge Management Model Based on the Recommendation Algorithm

Abstract:

The knowledge sharing is one of the most important characteristics of knowledge management. In the traditional model of knowledge management, employees only select the sharing knowledge through independent action, and operating behavior between employees of the same type did not reflect reference. This paper is the integration of the recommendation algorithm of data mining and the traditional knowledge ontology knowledge management model, proposing the process enterprise knowledge management model based on the recommendation algorithm, and knowledge management framework of knowledge as the main body, the field of process-driven and recommendation process for the behavior. To recommend the appropriate knowledge for the staff improves the efficiency of enterprise employees staff to the knowledge and promote the application and innovation of knowledge of the enterprise.

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Periodical:

Applied Mechanics and Materials (Volumes 411-414)

Pages:

1099-1103

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.411-414.1099

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Online since:

September 2013

Authors:

Zhen Yu Yang, Jun Zhou

Keywords:

Knowledge Management Model, Knowledge Modeling, Recommendation Algorithm

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