Self-associated concept mapping for representation, elicitation and inference of knowledge

W. M. Wang, Chi Fai Cheung, Wing Bun Lee, S. K. Kwok

Research output: Journal article publicationJournal articleAcademic researchpeer-review

20 Citations (Scopus)


Concept maps have been widely put to educational uses. They possess a number of appealing features which make them a promising tool for teaching, learning, evaluation, and curriculum planning. This paper presents self-associated concept mapping (SACM) which extends the use of concept mapping by proposing the idea of self-construction and automatic problem solving to traditional concept maps. The SACM can be automatically constructed and dynamic updated. A Constrained Fuzzy Spreading Activation (CFSA) model is proposed to SACM for supporting rapid and automatic decisions. With the successful development of the SACM, the capability of Knowledge-based systems (KBS) can be enhanced. The concept and operational feasibility of the SACM is realized through a case study in a consultancy business. The theoretical results are found to agree well with the experimental results.
Original languageEnglish
Pages (from-to)52-61
Number of pages10
JournalKnowledge-Based Systems
Issue number1
Publication statusPublished - 1 Feb 2008


  • Concept mapping
  • Knowledge management
  • Knowledge representation
  • Knowledge-based systems
  • Self-associated concept maps

ASJC Scopus subject areas

  • Software
  • Management Information Systems
  • Information Systems and Management
  • Artificial Intelligence

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