Expert Mining and Traditional Chinese Medicine Knowledge

Authors:
Gu Jifa;Song Wuqi;Zhu Zhengxiang;Rui Gao;Yijun Liu
Affiliations:
Chinese Academy of Sciences, China;Dalian University of Technology, China;Dalian University of Technology, China;China Academy of Chinese Medical Sciences, China;Chinese Academy of Sciences, China
Venue:
International Journal of Knowledge and Systems Science
Year:
2010

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Abstract

Expert mining is an emergent theory and technique that is useful for collecting the ideas, experiences, knowledge and wisdom from experts. Thus, in this paper, the authors have applied expert mining to solve problems related to social system and knowledge systems pertaining to specific types of information. TCM Traditional Chinese Medicine masters accumulated useful knowledge in medicine from ancient China paying close attention to collecting and maintaining the ideas, experiences, knowledge and wisdom from famous elder masters in TCM. In collecting this information, a large project was conducted from 100 famous elder masters in TCM supported by the Ministry of Science and Technology of China, State Administration of Traditional Chinese Medicine. Due to the enormity of this project, subprojects have been established using advanced IT technology, Artificial Intelligence, Knowledge Science and Systems Science to analyze and express these masters' experiences and theories. One of the subprojects uses expert mining and other techniques to analyze both individual and group ideas and knowledge. This paper will describe results and future planning in how this subproject will be conducted while introducing methods and tools used for expert mining.