A methodology for problem-driven knowledge acquisition and its application

Yin Gai, Yanzhong Dang, Zhaoguang Xu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations


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.

Original languageEnglish
Title of host publicationKnowledge and Systems Sciences - 17th International Symposium, KSS 2016, Proceedings
EditorsWuyi Yue, Xijin Tang, Yoshiteru Nakamori, Jian Chen
PublisherSpringer Verlag
Number of pages12
ISBN (Print)9789811028564
StatePublished - 2016
Externally publishedYes
Event17th International Symposium on Knowledge and Systems Sciences, KSS 2016 - Kobe, Japan
Duration: 4 Nov 20166 Nov 2016

Publication series

NameCommunications in Computer and Information Science
ISSN (Print)1865-0929


Conference17th International Symposium on Knowledge and Systems Sciences, KSS 2016


  • Knowledge acquisition
  • Knowledge management
  • Problem solving
  • Problem-driven


Dive into the research topics of 'A methodology for problem-driven knowledge acquisition and its application'. Together they form a unique fingerprint.

Cite this