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A Methodology for Problem-Driven Knowledge Acquisition and Its Application

  • Yin GaiEmail author
  • Yanzhong DangEmail author
  • Zhaoguang Xu
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 660)

Abstract

Most papers claim that knowledge acquisition is a critical bottleneck and has become an important research issue in knowledge management. However they take very different perspectives on it and there is little agreement on how it should be implemented in the industry. In this paper, we investigate problem solving as a cognitive process and propose a new and practical methodology for problem-driven knowledge acquisition. Our contribution includes: (1) proposing a model for problem-driven knowledge acquisition at cognitive level which integrates cognitive structures of problem solvers with situations of knowledge acquisition; (2) designing a framework for problem-driven knowledge acquisition which implements knowledge structured from prior practical experience; (3) developing a prototype system and implementing a mechanism of problem-driven knowledge acquisition. Our proposed methodology has been applied in a real practice case. The results demonstrate that the prototype system can be an effective tool for enterprise-wide knowledge management practice.

Keywords

Problem-driven Problem solving Knowledge acquisition Knowledge management 

Notes

Acknowledgement

This research is supported by the following research funding: the National Natural Science Foundation of China (71031002, 71501032), and the Social Science Foundation of Ministry of Education of China (14YJC630036, 15YJC630193), respectively.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2016

Authors and Affiliations

  1. 1.School of Management Science and EngineeringDongbei University of Finance and EconomicDalianPeople’s Republic of China
  2. 2.Institute of System EngineeringDalian University of TechnologyDalianPeople’s Republic of China

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