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Representation and visualization of behavioral knowledge
Conference paper

Representation and visualization of behavioral knowledge

Alice Wan-Jung Tsai and Jiang-Liang Hou
36th International Conference on Computers and Industrial Engineering, ICC and IE 2006, pp.1936-1950
2006

Abstract

Behavioral knowledge Knowledge management Knowledge representation Visualization Vrml
Recently, the sheer volume of digital information that floods over the Internet has become a challenge to human's limited capability to acquire and absorb domain knowledge efficiently and accurately. Therefore, to effectively representing the document contents so that knowledge receivers could easily acquire the domain knowledge is a critical issue for enterprise knowledge management. In this research, a three-phase methodology (including automatic thesaurus definition (ATD), target sentence extraction and formatting (TSEF) and behavioral knowledge visualization (BKV)) for behavioral knowledge extraction, representation and visualization is developed. Moreover, based on the proposed methodology a Behavioral Knowledge Representation and Management System (BKRMS) is established. As a whole, this research provides a knowledge representation and visualization approach to facilitate knowledge receivers to efficiently and accurately acquire the knowledge contents. The proposed methodology can be applied in enterprise e-training and knowledge management systems to enhance reuse of domain knowledge.

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