Publication Type
Journal Article
Version
publishedVersion
Publication Date
12-2005
Abstract
Conceptual modeling involves the understanding and communication between system analysts and end-users. Many factors may affect the quality of conceptual modeling processes as well as the models per se. Human cognition plays a pivotal role in understanding these factors and cognitive mapping techniques are effective tools to elicit and represent human cognition. In this paper, we look at the use of cognitive mapping techniques to improve the quality of conceptual modeling. We review frameworks on quality in conceptual modeling and examine the role of human cognition in conceptual modeling. The paper also discusses how human cognition is related to quality in conceptual modeling, the various cognitive mapping techniques, and how these cognitive mapping techniques can be used in conceptual modeling. Through a case study, the paper describes ways of incorporating cognitive mapping techniques to a popular systems development methodology—Soft Systems Methodology—to improve the quality of conceptual modeling.
Keywords
Quality, Cognitive mapping, Requirements engineering, Systems development methodology
Discipline
Databases and Information Systems
Research Areas
Data Science and Engineering
Areas of Excellence
Digital transformation
Publication
Data & Knowledge Engineering
Volume
55
Issue
3
First Page
343
Last Page
365
ISSN
0169-023X
Publisher
Elsevier
Citation
SIAU, Keng and TAN, X..
Improving the quality of conceptual modeling using cognitive mapping techniques. (2005). Data & Knowledge Engineering. 55, (3), 343-365.
Available at: https://ink.library.smu.edu.sg/sis_research/9386
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