A Study on Motion Knowledge Visualization

Abstract

While information technology is rapidly developing, the volume of digital information has significantly increased over the Internet. This challenges human’s limited capability to acquire and absorb domain knowledge efficiently and accurately. From this issue, it is obvious that representing the document contents effectively for knowledge receivers to easily acquire the domain knowledge has become a necessary requirement in enterprise knowledge management. Our paper brings out a three-phase methodology (including automatic thesaurus definition (ATD), target sentence extraction and formatting (TSEF) and motion knowledge visualization (MKV)) for motion knowledge extraction, representation and visualization is developed. Furthermore, the proposed approach shall influence enterprise e-training and knowledge management enviornments by enhancing reuse of domain knowledge.