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Expert Mining and Traditional Chinese Medicine Knowledge

Expert Mining and Traditional Chinese Medicine Knowledge

Gu Jifa, Song Wuqi, Zhu Zhengxiang, Gao Rui, Liu Yijun
Copyright: © 2012 |Pages: 13
ISBN13: 9781466617827|ISBN10: 1466617829|EISBN13: 9781466617834
DOI: 10.4018/978-1-4666-1782-7.ch016
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MLA

Jifa, Gu, et al. "Expert Mining and Traditional Chinese Medicine Knowledge." Systems Approaches to Knowledge Management, Transfer, and Resource Development, edited by W.B. Lee, IGI Global, 2012, pp. 239-251. https://doi.org/10.4018/978-1-4666-1782-7.ch016

APA

Jifa, G., Wuqi, S., Zhengxiang, Z., Rui, G., & Yijun, L. (2012). Expert Mining and Traditional Chinese Medicine Knowledge. In W. Lee (Ed.), Systems Approaches to Knowledge Management, Transfer, and Resource Development (pp. 239-251). IGI Global. https://doi.org/10.4018/978-1-4666-1782-7.ch016

Chicago

Jifa, Gu, et al. "Expert Mining and Traditional Chinese Medicine Knowledge." In Systems Approaches to Knowledge Management, Transfer, and Resource Development, edited by W.B. Lee, 239-251. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-1782-7.ch016

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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.

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